19 parallel-computing-numerical-methods Postdoctoral positions at University of Oxford in computer-science
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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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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
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sphingolipid transport systems. You will determine high resolution single particle cryo-EM structures of sphingolipid transporters. In parallel, you will assess sphingolipid-transporter interactions and the role
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Chemistry, Chemical Biology or Biochemistry (or be close to completion), together with demonstrated knowledge of protein, sugar and/or lipid biomolecule methods. The ability to carry out analytical procedures
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of Engineering Science (Institute of Advanced Technology, Begbroke Science Park) and in collaboration with Professor Demrot O’Hare in the Department of Chemistry. The post is funded by the EPSRC SOUNDCHEM Programme Grant
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methods for biological, biophysical, or analytical applications. Ability to analyse and interpret complex experimental datasets using computational and statistical tools. Start Date: As Soon As Possible Why