117 parallel-computing-numerical-methods Postdoctoral positions at University of Oxford
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The Oxford Department of International Development (ODID) is seeking to recruit a Comparative Data & Methods Postdoctoral Researcher. Reporting to Professor Masooda Bano, the post-holder will join a
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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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Postdoctoral Research Associate on Integrated Approach to Computational Complexity Fixed term contract for 1 year Grade 07RS: £38,674-£46,913 per annum inclusive of Oxford University weighting We
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, developing and applying computational methods to explore renal pathology across tissue scales. This project will focus on tubular injury patterning and on glomerular disease. You will be responsible
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We invite applications for a Postdoctoral Research Associate (PDRA) to join the EPSRC Hub on the Mathematical and Computational Foundations of Artificial Intelligence. Applicants are expected
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About the role We have an exciting opportunity for a highly motivated Postdoctoral Research Scientist in Computational Biology to join the Oxford Vaccine Group (OVG) as part of the Correlates
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on the computational modelling of degradation routes of organic molecules in the lithium-air battery. The position will involve collaborating with other groups, presenting to key stakeholders and preparing manuscripts
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for implementing computational models, simulations, and numerical experiments is desirable. Diversity Committed to equality and valuing diversity Application Process You will be required to upload a covering letter
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Investigator: Dr Abhishek Banerjee) to lead a research programme examining how the brain supports flexible behaviour in both mice and humans. The project centres on two complementary experimental streams. In
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by ATi/Innovate UK and Rolls Royce and is fixed-term to October 2029. You will join a world‑leading programme advancing experimental and numerical methods for predicting the performance of 3D woven