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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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/workforce-and-learning-research-group ). The Compound Pressures project is a realist review funded by the NIHR HSDR programme. The project aims to understand how multiple and intersecting pressures, such as
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Fixed term until 30/06/2027, full-time. Previous applicants of vacancy ID: 180719 need not apply. About us: At the Department of Physiology Anatomy & Genetics (DPAG) we undertake discovery science
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on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a PhD/DPhil (or be near completion
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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
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subjects: computational biology or machine learning, statistical genetics and/or have relevant post-qualification experience in quantitative, genomic or molecular epidemiology, or statistical genetics. You
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O’Brien’s research groups at the Department of Engineering Science (Central Oxford). The post is fixed term for two years and is funded by the EPSRC. The development of large-scale quantum computers will
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Economics Research Centre (HERC), Nuffield Department of Population Health, with the opportunity to also contribute to HERC’s varied programme of teaching. You will manage your own academic research and
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science and medicine Experience in applying AI to large-scale healthcare datasets, contributing to grant proposals, or deploying AI tools in real-world applications would be highly valuable. The successful
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. The post-holder will be responsible for managing their own academic research programme in Salmonella effector biology. You will have a high degree of autonomy to develop the methodology and experimental