180 phd-rehabilitation-engineering-computer-science Postdoctoral research jobs at University of Oxford in United Kingdom
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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
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radiation technology. Prior experience on spin-resolved ARPES or previous experience in setting up and maintain the operation of ARPES spectrometers will be an advantage. Candidates are expected
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and Mind Building, South Parks Road, Oxford Applicants must hold a PhD in Microbiology and/or Molecular biology and will be responsible for providing microbiological data to facilitate the design of new
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available option. Applicants with a range of academic subject backgrounds are welcomed, including natural sciences, engineering, statistics and applied mathematics with experience and/or growing interest in
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, reporting to Prof. Mauro Pasta. Applicants must hold PhD/DPhil in Materials Science or Chemistry (or be close to completion), together with relevant experience in the field of beyond Li-ion batteries, in
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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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You will hold a PhD in a biological/biomedical/life science or related field and possess extensive experience of working in a biology or biochemistry laboratory. You will have knowledge of procedures
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choice theory, or computational modelling. This post is based at the Department of Computer Science and on-site working is required. Remote and part-time working is possible in agreement with Professor
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, Oxford, OX3 7DQ, and is offered on a full-time basis for a fixed term until 31 December 2027. About you You will hold a PhD in a biological/biomedical/life science or related field and possess extensive
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an available option. Applicants with a range of academic subject backgrounds are welcomed, including natural sciences, epidemiology, engineering, statistics and applied mathematics with experience and