170 phd-neural-computation-"Prof" Postdoctoral research jobs at University of Oxford in United Kingdom
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to secure future computing systems at lower costs and performance overheads. About you You should possess a PhD/DPhil in Engineering, Computer Science or other related field, (with the possibility
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small-scale project management and to co-ordinate multiple aspects of work to meet deadlines. About you You will hold a PhD/Dphil (or near to completion) in molecular biology or cancer biology with
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possess a PhD/DPhil in Engineering, Computer Science or other related field, (with the possibility to underfill at Grade 6 (£34,982 - £40,855 p.a.) if candidate holds a relevant degree and is working on PhD
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to 31st May 2028). The RADlab at University of Oxford is seeking to recruit a Postdoctoral Researcher for the Neural-driven, Active, and Reconfigurable Mechanical Metamaterials (NARMM) project. Candidates
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energy densities exceeding LMFP and competitive with NMC. A postdoctoral research position is available on this 3D-CAT project in the area of computer modelling and materials design of lithium battery
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About the Role We are seeking an experienced and highly motivated senior postdoctoral researcher in computational biology. The successful candidate will join a multi-disciplinary team working in
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We are seeking a full-time postdoctoral researcher to join Prof Cathy Ye and Prof Wei Huang research groups at the Department of Engineering Science (Headington/ Begbroke Oxford). The post is
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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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programming skills and expertise with computational methods for neural/behavioural data analysis. You will have experience in conducting task-based functional neuroimaging and/or behavioural experiments, and
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will have a PhD in a relevant scientific discipline and sufficient specialist knowledge relevant to the project to be able to make a start on day one – we do not expect everyone to have all the skills