164 proof-checking-postdoc-computer-science-logic Postdoctoral research jobs at University of Oxford
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hold, or be close to completion of, a relevant PhD/DPhil in one of the following subjects: computational genomics, genetic or molecular epidemiology, medical statistics or statistical genetics. You must
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to a large-scale, interdisciplinary research programme. We are looking for someone with proven expertise in a fast-paced environment, who is committed to delivering high-quality research support and
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for identification of discriminative spatial interactions of therapeutic response, and develop skills in computational biology and mathematical spatial analysis via independent study and training courses. It is
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We are seeking a full-time Postdoctoral Research Assistant to join RADlab at the Department of Engineering Science (central Oxford). The post is funded by UKRI and is fixed-term (1st January 2025
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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Project Overview This 5-year BBSRC supported project is a highly multi-disciplinary effort between biology and engineering groups at the University of Oxford to advance cell-based assays
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strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced biological models, an international consortium of leading colorectal
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inference attacks, to mitigate privacy leaks in MMFM. You will hold a PhD/DPhil (or be near completion) in a relevant discipline such as computer science, data science, statistics or mathematics; expertise in
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180920 – Postdoctoral Research Assistant in Immunology Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) Grade 7: Salary in the range of £38,674 - £45,628 per
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research environment supported by a team with broad expertise in data science, infectious diseases, hepatology, and clinical informatics. You will take a leading role in analysing large-scale, longitudinal