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on high performance computing systems in a way that is suitable for operational use. Implement and test different ML architectures, such as convolutional and encoders-decoder ANNs for predicting flooding in
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the University of Oxford’s Department of Education, is expanding with two exciting opportunities which will help the Centre step up its programme of academic research. The Centre produces research and evidence
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multi-project collaborative research programme focused on how to improve quality and safety in healthcare. At assistant research professor level, the postholder will lead programmes of research, manage
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the essential criteria for the post, which includes: Have or be about to obtain a PhD in computer science, engineering, mathematics or physical sciences area. Recent high quality research experience in
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clinical trial portfolio for a research programme in antimicrobial resistance and work to support colleagues in data-enabled trials. You will also undertake statistical methods research associated with
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during term time. Research Fellows benefit from up to £10,000 in additional grants over their four-year tenure. These grants support the costs of academic materials, travel expenses, computer equipment
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, Understanding, Forecasting and Tackling—the Centre’s programme aims for far-reaching insights that transform global responses to modern slavery in conflict settings. This role is one of seven new roles being
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, Understanding, Forecasting and Tackling—the Centre’s programme aims for far-reaching insights that transform global responses to modern slavery in conflict settings. This role is one of seven new roles being
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relevant field, including statistics, mathematics, computer science, epidemiology. Strong mathematical and quantitative skills. Experience in the implementation of mathematical or statistical models and
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obtaining, a PhD in computer science, engineering, mathematics, or a related physical sciences discipline, with research expertise in areas such as hardware-aware AI security, approximate computing, or secure