66 computer-science-phd Postdoctoral positions at University of Oxford in United Kingdom
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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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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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, and computational science while developing a broad skill set. The successful candidate will have, or be close to completion of, a PhD in a discipline closely related to neuroscience. With experience in
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). Analysis will be performed on collaborative cloud computing environments using the extensive computing infrastructure developed by the Sanders Lab. You will be involved with all aspects of the data analysis
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Novo Nordisk funds a prestigious fellowship programme at the University of Oxford, supporting basic science researchers in diabetes, obesity, cardiovascular diseases, and other cardiometabolic
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We are seeking to appoint a Senior Postdoctoral Researcher in Genomics of Myeloid Disorders to join the computational genomics group led by Prof Schuster-Boeckler to work on a collaborative project
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be considered. You should possess a PhD or DPhil (or near completion of) in Computer Vision or Machine Learning. You should have knowledge of approaches for areas related to efficient, reliable, and
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a PhD/DPhil or equivalent in a quantitative discipline such as computer science, statistics, machine learning, statistical or population genetics, or a related field. They should have experience in
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/DPhil in a relevant subject area related to Biology, biotechnology, photonics or biophysics and possess sufficient specialist knowledge to work within the established research programme. You will have
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PhD/DPhil in Computer Vision or Machine Learning (or be near completion) and hold a strong publication record in this field. You must have sufficient theoretical and practical knowledge of methodologies