109 postdoc-parallel-computing Postdoctoral positions at University of Oxford in United Kingdom
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The post will be based within the Oxford Centre for Functional MRI of the Brain (FMRIB), reporting to Professor Saad Jbabdi. Our group develops, validates and applies novel MRI techniques for basic and clinical neuroscience. This project involves development of machine learning methods for...
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trials, analysing and presenting data, contributing to manuscripts for publication and training, and supervising junior staff. You will participate in the research programme led by Professor Adrian Hill
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with different diseases in diverse populations and to identify potential therapeutic targets. This is an exciting opportunity to contribute to a programme of research that assess the causal relevance
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sciences or a related field would be beneficial, especially computational social science, behavioural science, communications, statistics, economics, computer science, finance, or management. Experience
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We are seeking a highly motivated Postdoctoral Research Scientist with a strong background in human induced pluripotent stem cell (iPSC) differentiations and computational analysis to join Dr
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engineering, computational sciences, physical sciences, or mathematics, together with sufficient specialist knowledge and hands-on experience in the development and application of bespoke thin-film gauge heat
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engineering, computational sciences, physical sciences, or mathematics, together with sufficient specialist knowledge of optical diagnostics and optical experiments to operate within the planned programme of
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, computational sciences, physical sciences, or mathematics, together with sufficient specialist knowledge and hands-on experience in the CFD simulation of internal combustion engines, and in particular in-cylinder
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Alliance. Other duties will include contributing to community activities such as seminars and networking events and developing skills in many areas of computational biological research via independent study
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data from a variety of sources, including Spatial Transcriptomics and multiplex Spatial Proteomics platforms and developing skills in computational biology and mathematical spatial analysis via