128 phd-in-computational-mechanics-"Prof"-"Prof" Postdoctoral positions at University of Oxford
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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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), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a PhD (or be near completion) in a field such as AI, computer science, signal
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will be required due to regulated activity involving children and ‘at risk’ adults. The successful candidate will hold, or have submitted a relevant PhD/DPhil (or equivalent) in a relevant discipline
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of Rheumatology. This post will be part of a research group with responsibility for carrying out research on mechanisms regulating immunological synapse formation and function. The post holder provides guidance
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rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across conventional boundaries and pursue hypothesis-led science
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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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Technology. Polymer; Solid Mechanics; Mechanics of Materials; Computational Mechanics; Statistical Mechanics
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with an interest in viral RNA-dependent RNA polymerases and its role in transcribing and replicating the viral RNA genome, as well as on the molecular mechanisms involved in the nuclear import, export
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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research initiative funded by ARIA, titled Aggregating Safety Preferences for AI Systems: A Social Choice Approach. The project operates at the interface of AI safety and computational social choice, and