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of stunning Devon The University of Exeter We are a member of the prestigious Russell Group of research-intensive universities and in the top 200 universities in the world (Times Higher Education World
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Research Centre, NDORMS, University of Oxford. Welcome to the Planetary Health Informatics Group. We combine fair and safe artificial intelligence, remote monitoring technology and clinical epidemiology
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member of the prestigious Russell Group of research-intensive universities and in the top 200 universities in the world (Times Higher Education World University Rankings 2024 and QS World University
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Assistant in Health Data Sciences you will contribute to the programming of analytical pipelines for the analysis of routinely collected data mapped to the OMOP Common Data Model. You will analyse real world
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drugs, devices, and vaccines for the prevention and treatment of human disease in 'real world' (routine practice) conditions. As a Research Assistant in Health Data Sciences you will contribute
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are a PhD or DPhil in theoretical computer science or mathematics, an extensive knowledge of computational complexity theory, and a strong publication record in the field of computational complexity
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licensed drugs, devices, and vaccines for the prevention and treatment of human disease in 'real world' (routine practice) conditions. As a Research Assistant in Epidemiology and Health Data Sciences you
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We have an exciting opportunity for a Research Assistant in Epidemiology and Health Data Sciences to join the Pharmaco- and Device epidemiology research group led by Professor Daniel Prieto-Alhambra
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that underpins world-leading, vaccine-producing, life-changing, medical research and teaching at the University of Oxford. If you are highly motived and experienced, we invite you to apply for this pivotal role in
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at the Oxford Thermofluids Institute (Osney Mead). This is a fantastic opportunity to develop next generation component technology, and contribute towards its inclusion in current and future Rolls-Royce civil