552 parallel-computing-numerical-methods-"Prof" Postdoctoral positions in United Kingdom
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About the role We are seeking a full-time Postdoctoral Research Assistant to join the Computing Infrastructure research group at the Department of Engineering Science (central Oxford). The post is
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Associate to join a research project based in the groups of Prof. Aurora J. Cruz-Cabeza and Prof. John Evans. The project is part of a new £7m EPSRC funded Programme Grant that brings together a team of
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no effective treatments. REACT is a joint initiative of King’s College London (Prof. Mauro Giacca), University of Oxford (Prof. Paul Riley and Prof. Robin Choudhury), and University of Edinburgh (Prof. Andrew
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the Department of Informatics, part of the Faculty of Natural, Mathematical & Engineering Sciences (NMES). The department is internationally recognised for its contributions to robotics, AI, and human-centred
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Oxford University Weighting of £1,500 per year (pro rata). Are you passionate about taking a lead role in a cutting-edge project at the intersection of genomics, computational biology, and haematological
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Bioinformatics and Computational Biology headed by Ivo Hofacker. Our team works on the development of algorithms and methods for problems in Computational Chemistry, Systems Chemistry, and Computational Biology
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activities. You will have: a PhD in an area relevant to the project, like biology, physics, applied mathematics previous experience with computational modelling, method development, and numerical analysis
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Associate to join a research project based in the groups of Prof. Aurora J. Cruz-Cabeza and Prof. John Evans. The project is part of a new £7m EPSRC funded Programme Grant that brings together a team of
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University Assistant Postdoc to to complement the research team around Univ.-Prof. Ulisse Stefanelli, PhD. The focus of our research is on the field of Calculus of variations and partial differential equations
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We are seeking a highly talented and experienced Postdoctoral Researcher to join a research team led by Prof Chris Summerfield focussed on studying learning and decision-making in humans and machine