71 computer-science-phd Postdoctoral positions at University of Oxford in United Kingdom
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the possibility of extension subject to funding. The UK Programme of Laser Inertial Fusion Technology for Energy (UPLiFT) is a 4 year £10M research programme funded by the UK government’s Department for Energy
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rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across conventional boundaries and pursue hypothesis-led science
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and collaborate in the preparation of research publications. To be considered you will hold or be close to completion of a PhD/DPhil in Demography, Sociology, Economics, Statistics, Public/Population
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be close to completion of, a PhD/DPhil in Structural Biology, Biochemistry, or Molecular/Cell Biology. Experience in protein expression and purification are required for this position. Experience in
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for multi-omics data analysis and will require establishing collaborations with Danish research partners. You will have a PhD in a quantitative subject (e.g. mathematics, physics, computer science
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and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in experimental or theoretical biology, bioinformatics, clinical medicine, or a related discipline and have
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, and computational science while developing a broad skill set. The successful candidate will have, or be close to completion of, a PhD in a discipline closely related to neuroscience. With experience in
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a PhD/DPhil or equivalent in a quantitative discipline such as computer science, statistics, machine learning, statistical or population genetics, or a related field. They should have experience in
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type (iv) work with the computational biology team to transfer this information into a AI algorithm that can distinguish neurodegenerative and neuroprotective phenotypes (v) work with colleagues in
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. It is essential that you hold a PhD/DPhil with clear relation to biology together with relevant research experience in academia or industry. You will have experience with cancer genomics, including