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high-impact research in a collaborative, interdisciplinary environment spanning medical statistics, epidemiology, clinical microbiology, and data science. You’ll work with large-scale electronic health
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the decision analytic modelling field research field and contribute to high quality reports for funding bodies and peer-reviewed outputs. You will hold a DPhil/PhD in health economics or a related quantitative
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, extreme events (e.g. heatwaves, droughts, floods, etc.), and their attribution, as well as related health, developmental and socio-economic impacts. The successful candidate will play a key role in
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-disciplinary team employing quantitative approaches to novel health problems. To be considered, you must hold a strong degree in a computational subject such as computer science, physics or engineering, have
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IMPORTANT NOTE: This is a readvertisement (vacancy number: 179723). Previous applicants need not apply. Join Oxford Digital Health Labs as a Senior Research Scientist or Software Engineer, where you
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Machine Learning, Human-Computing Interactions, Social Sciences, and Public Health. Applicants should hold, or be close to completion of, PhD/DPhil with research experience in computer science, statistics
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to create a modern, open, collaborative ecosystem for health research. We do this by shipping code, delivering papers, building capacity, and advocating for new ways of working. The post holder will work
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Join a world-class department and help keep our spaces running smoothly. The Department of Computer Science is seeking a proactive and hands-on Facilities Assistant to help support the smooth day-to
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, multi-disciplinary team based at the Old Road Campus, University of Oxford. The post is funded by the National Institute for Health and Care Research (NIHR) for supporting research project on large-scale
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. The project is led jointly by Professors Peter Watkinson (NDCN) and Marian Knight MBE (National Perinatal Epidemiology Unit) and funded by the National Institute for Health and Care Research (NIHR). The project