96 postdoc-parallel-computing Postdoctoral positions at University of Oxford in United Kingdom
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collaboration with the Translational Gastroenterology Unit (TGU) and the Ludwig Institute of Cancer Research (LICR) we aim to develop a computer guided endoscopy image recognition system that will support
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applications. In this role, you will take the lead on an independent project within our broader research programme. Your work will centre on identifying and characterising novel regulators of the immune response
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excellent contributory pension scheme • Employee Assistant Programme • Family Leave schemes • Cycle and electric car loan schemes • Childcare services • Membership to social and
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Sukin’s research group, with responsibility for carrying out a programme of research examining the effects of political polarisation on nuclear strategy and policy. The successful applicant will work
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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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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We are seeking a Postdoctoral Research Associate to join the Ghafari Research Group in the Department of Biology, University of Oxford. The group focuses on studying the mode and tempo of pathogen molecular evolution, particularly in viruses with epidemic and pandemic potential, as well as those...
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experimental and computational approaches are employed to shine light into key biological processes during the life of parasitic flatworms. Large-scale sequencing datasets (‘omics’) are generated and analyzed
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and social data with the aim to better understand energy use. The programme is an interdisciplinary collaboration between the School of Geography and the Environment (Oxford), the Department
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be considered. You should possess a PhD or DPhil (or near completion of) in Computer Vision or Machine Learning. You should have knowledge of approaches for areas related to efficient, reliable, and