143 high-performance-computing-postdoc Postdoctoral research jobs at University of Oxford in United Kingdom
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2025. Interviews will be held as soon as possible thereafter. At the Dunn School we are committed to supporting the professional and career development of our postdocs and research staff. To help them
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We are seeking a creative and highly motivated postdoctoral researcher to join the Turing AI World-Leading Fellowship research programme led by Professor Alison Noble. This exciting and ambitious
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record in conducting cross-species research to investigate how cells and circuits in the brain work together to perform computations that support memory. The proposed research will take full advantage
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About the role The Kelly lab is excited to announce a new post-doctoral position in computational biology. This position is funded as part of an international consortium of scientists who
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Institute for Molecular and Computational Medicine (IMCM). You will test GSK assets and targets in established models of podocyte and mesangial cell pathology relevant to glomerular diseases. You will
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of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), Oxford As a Postdoctoral Research Assistant in Translational Biology you will be performing laboratory experiments and data analysis to support
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vitro and cell-based approaches. In this endeavour the position is for a Postdoc with expertise in cell signalling pathways, protein biochemistry and in vitro cell biology. You will be responsible
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Jarvis to lead the processing of the MIGHTEE continuum and HI survey data. The role requires a high level of technical expertise in radio interferometry techniques and would help coordinate the processing
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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accessibility of the method to enhance user ability to perform analyses in comparative genomics, enable new analyses, and gain new evolutionary insights from data generated using OrthoFinder. The successful