Bioinformatics, Statistics and Computational Biology
The Deep Medicine Programme of the Oxford Martin School at The George Institute for Global Health applies established and novel techniques in data mining, machine learning and deep learning to complex biomedical datasets to generate insights into complex disease patterns, risk trajectories and treatment effects.
Computational Biology and Bioinformatics | statistics
Welcome to Computational Biology and Bioinformatics. This research group develops computational and statistical methods for the analysis of such data, with particular emphasis on methods for biological networks and biological sequences.
Computational Biology and Health Informatics
The Computational Biology & Health Informatics Theme engages in biomedical and healthcare research through the development of innovative computational approaches such as multiscale modelling and simulation, medical image and signal analysis, semantics-driven technologies and software verification.
Blanca Rodriguez - Department of Computer Science
Professor Blanca Rodriguez is Professor of Computational Medicine, Wellcome Trust Senior Research Fellow and Head of the Computational Biology and Health Informatics Theme at the Department of Computer Science, University of Oxford. Originally, she is from Valencia, Spain, where she trained in Engineering at the Universidad Politecnica de ...
Computational Biology Group - Department of Computer Science
The group engages in theoretical and applied, interdisciplinary and practise-based research at the interface between computer science and the biomedical sciences, focussing on applying computer science and mathematical techniques to clinically and biologically pressing problems.
Computational Biology, Statistics and Bioinformatics
Computational Biology, Statistics and Bioinformatics. We have cutting edge expertise in a range of statistical and mathematical modelling techniques that allow us to interrogate large data sets – from the ‘big data’ of genomics through to magnetic resonance imaging and clinical trials.
DPhil in Biology - University of Oxford
To be successfully awarded a DPhil in Biology you will need to defend your thesis orally (viva voce) in front of two appointed examiners. Graduate destinations. The DPhil in Biology is a new course, replacing the DPhil in Plant Sciences and the DPhil in Zoology.
Computational Discovery — University of Oxford, Medical ...
The DPhil in Computational Discovery is a multidisciplinary programme spanning projects in Advanced Molecular Simulations, Machine Learning and Quantum Computing to develop new tools and methodologies for life sciences discovery.
Welcome to the WCMB website | Mathematical Institute
The Wolfson Centre for Mathematical Biology (WCMB) at the University of Oxford is part of the Mathematical Institute. Researchers working at the WCMB are interested in the development and utilisation of mathematical and computational techniques for the exploration of biological systems.
Francesca Buffa — Department of Oncology - University of Oxford
Following this, Francesca joined the Medical Sciences Division, University of Oxford, first as a postdoctoral research fellow in systems biology, and then as Principal Investigator, Full Professor and Head of the Computational Biology and Integrative Genomics Lab.
COMMENTS
The Deep Medicine Programme of the Oxford Martin School at The George Institute for Global Health applies established and novel techniques in data mining, machine learning and deep learning to complex biomedical datasets to generate insights into complex disease patterns, risk trajectories and treatment effects.
Welcome to Computational Biology and Bioinformatics. This research group develops computational and statistical methods for the analysis of such data, with particular emphasis on methods for biological networks and biological sequences.
The Computational Biology & Health Informatics Theme engages in biomedical and healthcare research through the development of innovative computational approaches such as multiscale modelling and simulation, medical image and signal analysis, semantics-driven technologies and software verification.
Professor Blanca Rodriguez is Professor of Computational Medicine, Wellcome Trust Senior Research Fellow and Head of the Computational Biology and Health Informatics Theme at the Department of Computer Science, University of Oxford. Originally, she is from Valencia, Spain, where she trained in Engineering at the Universidad Politecnica de ...
The group engages in theoretical and applied, interdisciplinary and practise-based research at the interface between computer science and the biomedical sciences, focussing on applying computer science and mathematical techniques to clinically and biologically pressing problems.
Computational Biology, Statistics and Bioinformatics. We have cutting edge expertise in a range of statistical and mathematical modelling techniques that allow us to interrogate large data sets – from the ‘big data’ of genomics through to magnetic resonance imaging and clinical trials.
To be successfully awarded a DPhil in Biology you will need to defend your thesis orally (viva voce) in front of two appointed examiners. Graduate destinations. The DPhil in Biology is a new course, replacing the DPhil in Plant Sciences and the DPhil in Zoology.
The DPhil in Computational Discovery is a multidisciplinary programme spanning projects in Advanced Molecular Simulations, Machine Learning and Quantum Computing to develop new tools and methodologies for life sciences discovery.
The Wolfson Centre for Mathematical Biology (WCMB) at the University of Oxford is part of the Mathematical Institute. Researchers working at the WCMB are interested in the development and utilisation of mathematical and computational techniques for the exploration of biological systems.
Following this, Francesca joined the Medical Sciences Division, University of Oxford, first as a postdoctoral research fellow in systems biology, and then as Principal Investigator, Full Professor and Head of the Computational Biology and Integrative Genomics Lab.