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Doctor of Philosophy (PhD)

Offered By: Department of Biostatistics

Onsite | Full-Time | 5 years

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About the PhD in Biostatistics Program

The PhD in Biostatistics provides training in the theory of probability and statistics in biostatistical methodology. The program is unique in its emphasis on the foundations of statistical reasoning and data science. Students complete rigorous training in real analysis-based probability and statistics, equivalent to what is provided in most departments of mathematical statistics and in advanced data science.

PhD candidates are required to pass a comprehensive written examination covering coursework completed at the end of their first year. Research leading to a thesis may involve development of new theory and methodology, or it may be concerned with applications of statistics and probability to problems in public health, medicine or biology.

Application Fee Waivers: We are able to offer a limited number of application fee waivers. Learn about the eligibility criteria and how to apply for a waiver .

PhD in Biostatistics Program Highlights

Conduct and publish original research.

on the theory and methodology of biostatistics

Apply innovative theory and methods

to the solution of public health problems

Serve as an expert biostatistician

on collaborative teams of investigators addressing key public health questions

Teach biostatistics effectively

to health professionals and scientists as well as to graduate students in biostatistics

What Can You Do With a PhD In Biostatistics?

Sample careers.

• Assistant Professor
• Postdoctoral Fellow
• Data Scientist
• Statistician
• Biostatistician

Curriculum for the PhD in Biostatistics

Browse an overview of the requirements for this PhD program in the JHU  Academic Catalogue  and explore all course offerings in the Bloomberg School  Course Directory .

Admissions Requirements

For general admissions requirements, please visit the How to Apply page. This specific program also requires:

Prior Coursework

Calculus and linear algebra; accepted applicants are also strongly encouraged to take real analysis before matriculating

Standardized Test Scores

Standardized test scores are  not required and not reviewed  for this program. If you have taken a standardized test such as the GRE, GMAT, or MCAT and want to submit your scores, please note that they will not be used as a metric during the application review.  Applications will be reviewed holistically based on all required application components.

Vivien Thomas Scholars Initiative

The  Vivien Thomas Scholars Initiative (VTSI)  is an endowed fellowship program at Johns Hopkins for PhD students in STEM fields. It provides full tuition, stipend, and benefits while also providing targeted mentoring, networking, community, and professional development opportunities. Students who have attended a historically Black college and university (HBCU) or other minority serving institution (MSI) for undergraduate study are eligible to apply. To be considered for the VTSI, you will need to submit a SOPHAS application ,VTSI supplementary materials, and all supporting documents (letters, transcripts, and test scores) by December 1, 2023. VTSI applicants are eligible for an  application fee waiver , but the fee waiver must be requested by November 15, 2023 and prior to submission of the SOPHAS application.

Admitted PhD students are automatically considered for full funding, including five years of full tuition coverage, a paid research assistantship and individual health insurance.

Need-Based Relocation Grants Students who  are admitted to PhD programs at JHU starting in Fall 2023 or beyond can apply to receive a $1500 need-based grant to offset the costs of relocating to be able to attend JHU.   These grants provide funding to a portion of incoming students who, without this money, may otherwise not be able to afford to relocate to JHU for their PhD program. This is not a merit-based grant. Applications will be evaluated solely based on financial need.  View more information about the need-based relocation grants for PhD students .

Questions about the program? We're happy to help. 

Academic Administrator Mary Joy Argo 410-614-4454 [email protected]

Academic Position Openings

Applicants are welcome to apply for more than one position, but a separate application will be required for each position.

Open Job Opportunities – Quick Links Click on a link below to be taken directly to the application.  All hyperlinked positions below are currently accepting applications.

Postdoc Jobs : Postdoctoral Research Fellow for Statistical Methods in Population Health Disparities – Dr. Briana Stephenson Postdoctoral Fellow – Dr. John Quackenbush Postdoctoral Research Fellow/Research Associate Position in Biostatistics and Biomedical Informatics – Dr. Tianxi Cai Postdoctoral Research Position in Biostatistics – Drs. Francesca Dominici, Rachel Nethery, Danielle Braun Postdoctoral Research Position in Data Science – Dr. Francesca Dominici

Research Associate/ Research Scientist Jobs : Research Associate/Research Scientist – Dr. Curtis Huttenhower Research Associate/Research Scientist (ACTG) – Center for Biostatistics in AIDS Research (CBAR)

Research Associate/Research Scientist (ACTG)

Description:

Research Associate/Research Scientist

Application Procedures:

To apply for this position, submit your application through the Harvard ARIeS: Academic Recruiting Information eSystem at the following link:

https://academicpositions.harvard.edu/postings/11352

Additional Information: Harvard University seeks to find, develop, promote, and retain the world’s best scholars. Harvard is an Affirmative Action/Equal Opportunity Employer. Applications from women and minority candidates are strongly encouraged.

Postdoctoral Fellow

We are seeking a candidate with expertise in computational and systems biology to work as part of a multidisciplinary team developing methods relevant to the study of genetics, gene regulatory networks, and the use of quantitative imaging data as biomarkers. Our goal is to use these methods to better understand the development, progression, and response to therapy. The successful applicant will work directly with Dr. John Quackenbush, but will be part of a community of researchers consisting of Dr. Quackenbush, Dr. Kimberly Glass, Dr. John Platig, and Dr. Camila Lopes-Ramos, and members of their research teams.

Basic Qualifications

A PhD in computational biology, biostatistics, applied mathematics, physics, biology, or related fields and demonstrated skill in methods and software development and the analysis of biological data are required.

Additional Qualifications

The ability to work as part of a large, integrated research team and strong verbal and written communication skills are essential. Previous work in cancer biology/cancer genomic data analysis is welcome but not required.

https://academicpositions.harvard.edu/postings/11790

Postdoctoral Research Fellow for Statistical Methods in Population Health Disparities

The Department of Biostatistics at Harvard TH Chan School of Public Health invites applications for a Postdoctoral Research Fellowship focused on the development of statistical methods for population health disparities. The postdoctoral fellow will work with Dr. Briana Stephenson and collaborate with a multidisciplinary research team to develop innovative statistical and machine learning methods to address and identify bias and inequities in population health. Areas of interest include: identifying bias in healthcare access and delivery, statistical methods for high-dimensional exposures in minority populations, model-based clustering techniques for understudied populations, and survey sampling methodology for diverse population cohorts. Research applications will utilize data from cancer registries, national survey studies, and large prospective cohort studies. The postdoctoral fellow will develop their research and training agendas through formal mentorship, seminars, conferences, and an Individual Development Plan ( IDP ) to explore and identify the fellow’s professional needs and career objectives.

Basic Qualifications:

• Doctoral degree in Biostatistics, Applied Statistics, Computer Science, data science or related field
• Experience developing and implementing statistical methods
• Experience analyzing healthcare or population cohort study data
• Strong statistical programming skills (e.g. R, MATLAB , Python, C++, etc.)
• Strong oral and written communication skills

Additional Qualifications:

• Experience implementing Bayesian models
• Experience processing and analyzing large datasets

Special Instructions:

• Cover letter • Curriculum vitae • One-page research statement and/or one representative first author publication • Two references

https://academicpositions.harvard.edu/postings/12614

Postdoctoral Research Fellow/Research Associate Position in Biostatistics and Biomedical Informatics

A Postdoctoral Research Fellow or Research Associate position in biostatistics and biomedical informatics is available at Harvard T.H. Chan School of Public Health. The positions involve developing and applying statistical and computational methods for analysis of electronic health records ( EHR ) data including narrative data extracted via natural language processing, codified phenotype data as well as large scale genomic measurements. We seek an individual with strong statistical and computing backgrounds and who has expertise in statistical and machine learning methods for big data. The work will involve development and application of statistical and informatics methods and algorithm for analyzing  EHR  data.

Ph.D. in a quantitative field, e.g., statistics or biostatistics, computer sciences, strong quantitative research background, statistical and programming proficiency, as well as good written and oral communication skills.

https://academicpositions.harvard.edu/postings/10604

Additional Information:

Harvard University seeks to find, develop, promote, and retain the world’s best scholars. Harvard is an Affirmative Action/Equal Opportunity Employer. Applications from women and minority candidates are strongly encouraged.

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Biostatistics PhD

Many issues in the health, medical, and biological sciences are addressed by collecting and exploring relevant data. The development and application of techniques to better understand such data is the fundamental concern of the Group in Biostatistics. The program offers training in theory of statistics and biostatistics, the computer implementation of analytic methods, and opportunities to use this knowledge in areas of biological/medical research. The curriculum is taught principally by members of the Division of Biostatistics (School of Public Health) and the Department of Statistics (College of Letters & Science) and provides a wide range of ideas and approaches to the analysis of data.

Established in 1955, the Graduate Group in Biostatistics curriculum offers instruction in statistical theory and computing, as well as opportunities to rigorously apply this knowledge in biological and medical research. The degree programs offered (listed below) are appropriate for students who have either a strong mathematical and statistical background with a focus in the biomedical sciences, or degrees in the biological sciences with a focus in mathematics and statistics. (The MA degree can be obtained under Plan I or Plan II. The PhD dissertation is administered according to Plan B.)

Master of Arts (MA)

The Masters of Arts Degree in Biostatistics is completed in 4 semesters. Candidates for this degree are expected to earn 48 units with courses in biostatistics, statistics, public health, and biology. Students pursuing the MA degree in Biostatistics will be expected, upon completion of the program, to be well-versed in the following areas:

Understand the foundations of statistical inference, e.g., maximum likelihood estimation, regression.

Have grounding in theoretical framework and ability to apply existing estimators in following categories:

Computational statistics

Multivariate analysis

Categorical data analysis

Survival analysis

Longitudinal data analysis

Causal inference

Clinical trials

Statistical genomics

Statistical computing

Have fluency in statistical programming languages for both analysis using classic methods and implementation of novel methods.

Identify and apply sound and pertinent methods to address statistical inference questions in biological, public health, and medical research.

Effectively communicate research findings, orally and in writing.

Doctor of Philosophy (PhD)

All Biostatistics PhD students are required to hold a master's degree in Biostatistics or a related field. The PhD degree requires 4-6 semesters of course work in biostatistics, statistics, and at least one other subject area (e.g., biology, environmental health, epidemiology). There are no unit or course requirements for the PhD, so a program of courses appropriate to a student's background and interests may be developed. Courses cover traditional topics as well as recent advances in biostatistics and in statistics. Those completing the PhD will have acquired a deep knowledge and understanding of these subject areas. Since graduates with doctorates often assume academic careers in research and teaching, a high degree of mastery in research design, theory, methodology, and execution is expected as well as the ability to communicate and present research findings and area of expertise in a clear, understandable manner.

Many doctoral graduates accept faculty positions in schools of public health, medicine, and statistics and/or math departments at colleges and universities, both in the United States and abroad. Some graduates take research positions, including with pharmaceutical companies, hospital research units, non-profits, and within the tech sector.

Biostatistics Doctor of Philosophy (PhD) with Designated Emphasis (DE)

Students enrolled in the UC Berkeley Biostatistics doctoral (PhD) program are eligible to apply for interdisciplinary study in a Designated Emphasis (DE), which we refer to as the Associated Programs. At UC Berkeley, acquiring a DE is like earning a "minor" with a PhD degree. Applications for Designated Emphasis are reviewed on a rolling basis throughout the year. However, students must apply prior to taking the qualifying exam and are strongly encouraged to begin the application process early in the third semester of graduate study. To be accepted to a Designated Emphasis, you must be a PhD candidate in one of the Associated Programs (e.g., Biostatistics). The two DE programs offered in biostatistics are:

• Designated Emphasis in Computational and Genomic Biology (DE-CGB)
• Designated Emphasis in Computational Science and Data Science and Engineering (DE-CSDE)

The goal of the DE-CGB program is to train a new generation of computational biology researchers by enhancing and facilitating interactions between faculty, postdoctoral scholars and students in the Associated Programs through a flexible and integrated research and teaching environment which transcends traditional departmental boundaries. Upon successful completion of all requirements and dissertation, your transcript and diploma will read, "PhD in Biostatistics with a Designated Emphasis in Computational & Genomic Biology."

The DE in Computational Science and Engineering (CSE) promises to bring a new paradigm to interdisciplinary research and education. The team-oriented approach provides our students with a solid foundation in the different facets of genomic research and ensuing competitive edge for the most desirable jobs in academia and industry, which increasingly require interdisciplinary training by combining high-performance computing, mathematical modeling, scientific and engineering theory, and analysis of large scale databases of observations. Upon successful completion of all requirements and dissertation, your transcript and diploma will read, "PhD in Biostatistics with a Designated Emphasis in Computational Science and Engineering."

Contact Info

[email protected]

2121 Berkeley Way West, 5th floor

Berkeley, CA 94720

At a Glance

Department(s)

Biophysics Graduate Group

Admit Term(s)

Application Deadline

December 4, 2023

Degree Type(s)

Doctoral / PhD

Degree Awarded

GRE Requirements

The Department of Biostatistics and Bioinformatics offers a Ph.D. degree in Biostatistics through the Duke University Graduate School. A distinguishing feature of the program is its integration within the world-class biomedical research enterprise at Duke University and the Duke School of Medicine. The goal of the program is to train students to become independent researchers who will advance the field of biostatistics, including statistical genetics and genomics. New methodological development with application in health-related areas is critical to this goal.  The program emphasizes development of methodology that incorporates the features of health-related problems, effective collaboration and communication with scientists, and ability to teach biostatistics. 

The Department currently has over sixty (60) faculty members who are individually affiliated with various research groups, centers and institutes across the School of Medicine, including the Duke Clinical Research Institute, the Duke Cancer Institute, the Durham VA Medical Center, the Center for HIV/Aids Vaccine Immunology, and the Duke Center for Aging. These affiliations provide a wide range of experiences and opportunities for graduate study.

Program Aims

• To train students to develop new statistical methodology, so they can develop into independent researchers and thought leaders in the field of biostatistics.  
• To train students in the practice of applying their statistical knowledge and skills across a broad spectrum of applications, so they can contribute to collaborative scientific endeavors in biomedical research. 

Class of 2022 Ph.D. in Biostatistics

Upcoming Dissertation Defenses

• Degrees Offered

PhD in Biostatistics

Description.

The doctoral program in Biostatistics trains future leaders, highly qualified as independent investigators and teachers, and who are well-trained practitioners of biostatistics. The program includes coursework in biostatistics, statistics, and one or more public health or biomedical fields. In addition, successful candidates are required to pass PhD applied and theory exams and write a dissertation that reports the results of new biostatistical research undertaken by the candidate.

Likely Careers

Clinical medicine, epidemiologic studies, biological laboratory and field research, genetics, environmental health, health services, ecology, fisheries and wildlife biology, agriculture, and forestry.

Applicants usually have a degree in mathematics, statistics, or a biological field. All applicants should have the equivalent of 30 or more quarter credits in mathematics and statistics, including linear algebra, probability theory, and approximately 2 years of calculus.

Concurrent Option:    PhD/MD

Application Deadline:   Dec 1 - Autumn Quarter Entry

Competencies

Upon satisfactory completion of the PhD in Biostatistics, graduates will be able to:

• Meet the  learning objectives of the MS program in Biostatistics ;
• Recommend and defend appropriate choices of methods to analyze independent outcome data; 
• Implement non-standard statistical methods accurately and efficiently; 
• Provide rigorous proofs characterizing the properties of standard statistical methods;
• Consult effectively with other scientists, addressing statistical issues in the design and analysis of public health or biomedical studies; and
• Design and carry out biostatistical research that will propose a new statistical method or will provide new information about the properties of existing methods.

Learning objectives for the PhD program in Biostatistics in the Generic Pathway:  Upon satisfactory completion of the PhD program in Biostatistics in the Generic Pathway, graduates will be able to:

• Recommend and defend appropriate choices of methods to analyze longitudinal, clustered and other non-independent outcome data; 
• Develop expertise in an area of biostatistical methodology; explain the strengths and weakness of different statistical methods in that area; and
• Explain both orally and in writing how advanced statistical methods work, assessing their strengths and limitations, and the place of particular methods in the larger statistical literature.

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Doctor of Philosophy in Biostatistics .

The PhD in Biostatistics is jointly administered by the Department of Biostatistics at the School of Public Health and the Department of Mathematics & Statistics at the Graduate School of Arts & Sciences. The program is geared toward the graduate student who seeks a career as a professional, academic, or industrial biostatistician in biomedical or epidemiologic sciences. The program meets the needs of the health professional who wishes to continue with public health training and achieve a higher and more specialized degree and the statistician who wishes to specialize in statistical methods for biomedical or epidemiologic applications.

Students who complete the PhD program will gain knowledge in probability, statistical inference and hypothesis testing, the design and conduct of experimental and epidemiological studies, statistical computation, and data analysis. Research interests of the faculty include multivariate analysis, survival analysis, medical statistics, clinical trials methodology, statistical genetics, surveillance, robust statistics, longitudinal data analysis, time series, regression, estimation theory, and the design of experiments.

Program Directors:

• Kathryn Lunetta
• Laura White

Program of Study

Students entering with a bachelor's degree must complete a total of 64 credits. Students entering with a master's degree must complete at least 32 credits.

It is expected that students take courses from both the Biostatistics Department in the School of Public Health and the Mathematics & Statistics Department in the Graduate School of Arts & Sciences. Upon completion of coursework, each student must pass Qualifying Examinations .

The dissertation work must address a relevant question in statistical methodology and pose a new approach, extend an existing approach, or provide novel application of an existing method. When the dissertation is completed, the candidate defends his or her work before the dissertation committee. More information about the dissertation requirements is available in the Graduate School of Arts & Sciences Bulletin .

Program Requirements

Required Core Courses:

• CAS MA 575 Linear Models
• CAS/MET MA 581 Probability
• CAS/MET MA 582 Mathematical Statistics
• GRS MA 781 Estimation Theory
• GRS MA 782 Hypothesis Testing
• SPH BS 805 Intermediate Statistical Computing and Applied Regression Analysis or SPH BS 806 Multivariate Analysis for Biostatisticians
• SPH BS 857 Analysis of Correlated Data
• SPH BS 853 Generalized Linear Models with Applications
• SPH EP 770 Concepts and Methods in Epidemiology

For complete information on the PhD in Biostatistics program of study, please review the PhD Handbook 2023-2024 and the Graduate School of Arts & Sciences Bulletin .

Students admitted to the PhD program (post-master or post-bachelor) in Biostatistics at Boston University as a full-time student will receive  five years of financial-aid in the form of fellowship or assistantship support. The financial-aid package will consist of a stipend as well as a scholarship to cover tuition, mandatory fees, and individual basic health insurance. A student will typically be appointed as a Doctoral Research Assistant (RA).

Doctoral Research Assistantship

Eligibility (RA): All eligibility requirements for admission must be met. All qualified PhD applicants (international as well as domestic students) who intend to pursue their education as a full-time student are eligible to receive financial aid through Doctoral Research Assistantship .

How to apply (RA): Eligible individuals who are interested in being considered for Doctoral Research Assistantship must complete the standard online application for the PhD program in Biostatistics by December 1. No separate application for financial aid is required.

Click here to view the Research Assistantship Handbook.

Interdisciplinary Training Program for Biostatisticians

For more information on eligibility and requirement for the Training Grant program, click here .

Financial Aid Opportunities

For more information, please visit GRS’s financial aid page for fellowships and scholarships and BUSPH’s financing your education page for additional internal and external funding opportunities.

All requests or questions related to admissions and financial aid should be sent to [email protected] . Applicants should not directly contact faculty members regarding admissions or funding opportunities .

Alumni Careers

Our graduates are highly sought after and work in a wide variety of careers upon graduating. Below is information on our graduates' first jobs after graduation.

PhD in Biostatistics Admissions Requirements

Applications for the PhD in Biostatistics program must be completed on the Graduate School of Arts & Sciences website. The deadline for fall admission is December 1. We do not have spring admission.

Requirements for Admissions

• At least the equivalent of bachelor of arts degree; no specific undergraduate major is required
• One year of calculus, including multivariate calculus*
• One full semester of linear algebra*
• Unofficial transcripts from all colleges and universities attended
• 1-2 pages personal statement
• Three letters of recommendation
• Official report of TOEFL scores for applicants whose native language is not English

Note: GRE is not required for admission.

*Online courses can be used to fulfill prerequisite courses if they: 1) are taken from an accredited university or college, 2) are letter-graded, and 3) carry the same credits as in-person courses at the institution.

Graduate programs are jointly administered by the SPH Department of Biostatistics and the Department of Mathematics & Statistics at the Graduate School of Arts & Sciences. Program degrees are the Graduate School of Arts & Sciences.

Students can visit the fee waiver application to find out more information about their eligibility.

Attend a Webinar: Sept 14, Oct 18, Nov 8, Jan 17, & Feb 15

Webinar Information

Attend a live webinar via Zoom to speak with the Program Directors and learn more about the program. Fill out the  Biostatistics Virtual Session Form to RSVP. The 2023 - 2024 webinar dates are as follows:

• Thursday, September 14, 2023 @ 9am EDT
• Thursday, October 18, 2023 @ 12pm EDT
• Thursday, November 8, 2023 @ 9am EST
• Thursday, January 17, 2024 @ 12pm EST
• Wednesday, February 15, 2024 @ 9am EST

For more information about the program, please email [email protected] .

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39 Biostatistics jobs

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• Biology jobs (39)
• Postdoc positions in Biostatistics (16)
• PhD positions in Biostatistics (12)
• Professor positions in Biostatistics (4)
• Assistant / Associate Professor positions in Biostatistics (4)
• Other positions in Biostatistics (3)
• Tenure Track positions in Biostatistics (3)
• Research assistant positions in Biostatistics (2)
• Researcher positions in Biostatistics (1)
• Lecturer / Senior Lecturer positions in Biostatistics (1)
• Management / Leadership positions in Biostatistics (1)
• Biostatistics jobs in France (10)
• Biostatistics jobs in Germany (6)
• Biostatistics jobs in Belgium (4)
• Biostatistics jobs in Norway (3)
• Biostatistics jobs in Austria (3)
• Biostatistics jobs in Morocco (3)
• Biostatistics jobs in Sweden (2)
• Biostatistics jobs in Switzerland (2)
• Biostatistics jobs in China (2)
• Biostatistics jobs in Denmark (1)

Search results (39)

2024 Natural Science Program Director Position

Wenzhou-Kean UniversityWenzhou-Kean University (WKU), located in Wenzhou, China, one of three Sino-American universities along with NYU Shanghai and Duke Kunshan University, is approved by the Ministry of Education of China. Launched in 2012, WKU ...

Upcoming fully funded PhD Positions in Neurosciences and Translational Psychiatry research, including a residency/PhD track option for medical doctors

There are no tuition fees for this PhD program.We welcome applications through our online application portal starting on August 15, 2023 for a start in fall 2024. The application deadline will be on October 31, 2023. The International Max Planck R...

Postdoctoral researcher (27086)

   →  Apply before 26/04/2024 (DD/MM/YYYY) 23:59 (Brussels Time)   →  Faculty of Medicine and Health Sciences     →  Department: GE31 - Biomoleculaire Geneeskunde   →  Occupancy rate: 100%   →  Number of positions: 1       →  Type of employment: C...

International Fully Funded PhD Positions in the Life Sciences in Switzerland

*New application deadlines for two open calls per year: November 1 and May 1!Life Science Zurich Graduate School offers more than 100 funded PhD positions. With around 500 research groups and more than 1600 Ph.D. students, the Life Science Zurich ...

Computational Biology / Bioinformatics Project Scientist to join the Superti-Furga Lab (m/f/d)

Do you want to be part of an interdisciplinary project, bringing together protein-protein interaction data of transmembrane proteins with the knowledge from protein structures and genetic variants using artificial intelligence and machine learning...

One-year Postdoctoral Position in Machine Learning (possible extension)

RESEARCHER PROFILE: Postdoc / R2: PhD holders RESEARCH FIELD(S)1: Computer science; Engineering; Mathematics; Medical scienceMAIN SUB RESEARCH FIELD OR DISCIPLINES1: Machine LearningJOB /OFFER DESCRIPTION Hosting body: This position is based at th...

PhD Positions in Cancer Research

Are you looking for excellent research opportunities for your PhD studies at the forefront of cancer research? The German Cancer Research Center (DKFZ) in Heidelberg invites international students holding a Master’s degree in (molecular) biology, ...

Post-doctoral fellowship program

The “Interdisciplinary School for the Blue Planet” (ISblue) launches an international post-doctoral fellowship program. This call continues the International postdoctoral program offered by ISblue since 2019 and LabexMER before. ISblue offers crea...

PhD: “Meiofauna as bIomonitoring tool for aNthropogenic impacts in the Deep sea (MIND)”

Reference: PV-2024-1408/1Department/Office:Duration in months :36Start date:Deadline for applications:15/04/2024General areas of responsibilityPresentation of the department, research unit or laboratoryPioneer in ocean science, IFREMER’s cutting-e...

Doctor of philosophy in marine ecology - Identifying macrophyte holobionts using environmental DNA metabarcoding: importance in biomonitoring and ecosystem management (HOLOMACRO) (M/F)

Reference: PV-2024-1430/2Department/Office:Duration in months :36Start date:Deadline for applications:15/04/2024General areas of responsibilityThe Sète Environmental Resources Laboratory (LERLR) and the Animal and Systems Adaptation and Adaptabili...

PhD : LOCal adaptation of the toxic dinoflagellate ALexandrium minutum (LOCAL) (M/F)

Reference: PV-2024-1413/1Department/Office:Duration in months :Start date:Deadline for applications:15/04/2024General areas of responsibilityDYNECO (Dynamics of Coastal Ecosystems) research unit works on coastal ecosystem evolution in response to ...

Research assistant (f/m/d) for the planning, coordination and implementation of human studies

Doctoral Candidate positions HORIZON-MSCA-Doctoral Network PROSTAMET

Project PROSTAMET is an immersive Doctoral Network (DN), that through the set-up of a unique comprehensive and modular translational pipeline aims to expose high achieving doctoral candidates to th...

Research Professor in Large Carnivore Ecology

The research professor in large carnivore ecology leads and develops the large carnivore monitoring and research in the Natural Resources Institute Finland (Luke).The research professor in large carnivore ecology leads and develops the large carni...

Lab Automation Scientist

Lab Automation ScientistThe ETH Zurich core facility NEXUS Personalized Health Technologies enables biomedical discovery and translational research for personalized health. We offer a broad range o...

Postdoc position (2 years) in Marine Molecular Ecology

We offer a 2-year position with a focus on fish adaptation (forms of spring and autumn spawning herring Clupea harengus membras) to the seasonal dynamics of the Baltic Sea financed by a postdoctoral Fellowship from Carl Trygger Foundation.The succ...

UD Stochastics

Vacancy number 14704Job type Academic staffHours (in fte) 1,0External/ internal ExternalLocation LeidenPlaced on 26 March 2024Closing date 30 April 2024 35 more days to applyThe Faculty of Science and the Mathematical Institute are looking for:Ass...

Postdoctor in Epilepsy

Reference number PAR 2024/227The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a large and inspiring place to work and study. Strong research and attractive st...

2024 New Year Famous Universities and Enterprises PhDs Recruitment and Cooperation Video Matchmaking Meeting

1、 Event Introduction In the Chinese New Year of 2024, Juqi Consulting collaborated with the Famous universities and enterprises club to organize global PhDs visits to well-known Chinese enterprises and universities, coordinating job recruitment a...

Data Manager (f/m/x) Wiss2403-14 | Institute for Plant Sciences | Faculty of Mathematics and Natural Sciences

Faculty of Mathematics and Natural Sciences Data Manager (f/m/x) Institute for Plant Sciences We are one of the largest and oldest universities in Europe and one of the most important employers in ...

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