70 computer-science-phd Postdoctoral positions at University of Oxford in United Kingdom
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well as social acceptability and policy design. About you You should hold a relevant PhD/DPhil, or be near completion, in electrical engineering, economics, applied mathematics or another related area. (For
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research outcomes to advance knowledge in the specialist area. It is essential that you hold a PhD/DPhil (or close to completion) in biochemistry, molecular biology, neuroscience or a related field, and have
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. You should hold a relevant PhD/DPhil, or be near completion, in electrical engineering, computer science, applied mathematics or another related area. (For candidates with an undergraduate/Masters
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data from a variety of sources, including Spatial Transcriptomics and multiplex Spatial Proteomics platforms and developing skills in computational biology and mathematical spatial analysis via
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research materials and analysing and presenting qualitative and/or quantitative data from a variety of sources. The successful candidate will hold a PhD degree in a relevant topic (e.g. Biomedical sciences
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possess or be close to obtaining a PhD in physics, electrical engineering, materials science, chemistry or similar discipline and have excellent problem-solving skills. They will have specific expertise in
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As part of the Oxford Martin School Digital Pandemic Preparedness Programme and the Leverhulme Centre for Demographic Science (LCDS), Nuffield Department of Population Health (NDPH) are recruiting a
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, computational sciences, physical sciences, or mathematics, together with sufficient specialist knowledge in the operation of high-pressure high-speed tunnel/shock-tube facilities and associated instrumentation
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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