134 high-performance-computing-postdoc Postdoctoral positions at University of Oxford
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THIS IS A RE-ADVERTISEMENT. PREVIOUS APPLICANTS NEED NOT APPLY. About the role We are seeking a postdoc to support our ongoing work on improving disease surveillance for emerging and endemic
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Life and Mind Building, South Parks Road, Oxford THIS IS A RE-ADVERTISEMENT. PREVIOUS APPLICANTS NEED NOT APPLY. About the role We are seeking a postdoc to support our ongoing work on improving
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quantitative discipline. You will have experience analysing complex, high-dimensional datasets and applying quantitative or computational methods, together with strong programming skills in Python or a
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. The group explores genetic causes of neurological disorders and aim to develop therapies for these conditions with a high complementary approach, ranging from stem cell modelling to functional genomic
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approach that could significantly improve both patient outcomes and treatment experience. FLASH radiotherapy is an emerging technique that delivers ultra-high dose rates of radiation in milliseconds
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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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About the Role We are offering an exciting and unique opportunity for an experienced postdoctoral researcher to deliver a translational programme at the interface of academia and industry, joining a
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of proteins in health and disease. Your Role As a postdoc on this project, will contribute to the design, fabrication, and application of microfluidic and nanofluidic devices for single-cell, single-molecule
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, bioinformatics, statistics, machine learning, computer science, mathematics, or a related discipline. have demonstrate experience in Python programming and high-performance computing, together with experience in
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responsibility for carrying out research in rough path theory, machine learning, generative AI and related fields as part of the DataSig II grant “High order mathematical and computational infrastructure