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at the Botnar Research Centre, NDORMS, University of Oxford. The NDORMS Pharmaco- and Device epidemiology research group is involved in a number of national and international studies exploring the conditions of
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Epidemiology and Health Data Sciences to join the Pharmaco- and Device epidemiology research group led by Professor Daniel Prieto-Alhambra at the Botnar Research Centre, NDORMS, University of Oxford. The NDORMS
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Health Data Sciences to join the Pharmaco- and Device epidemiology research group led by Professor Daniel Prieto-Alhambra at the Botnar Research Centre, NDORMS, University of Oxford. The NDORMS Pharmaco
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project that will enhance Population Health research in Oxford. Applicants should have an MSc in a subject relevant to Population Health (e.g. medical statistics, epidemiology, health economics, sociology
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methodologies and contribute ideas for new research projects. To be considered, you must hold a higher degree (e.g. MSc/PhD) in epidemiology, statistics or a related subject, have significant relevant experience
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statement. The University of Oxford is committed to equality and valuing diversity. All applicants will be judged on merit, according to the selection criteria. This post is a 6-month fixed term, full time
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and teaching. We are seeking a postdoctoral epidemiologist with experience of epidemiological data analyses to join our team in the Cancer Epidemiology Unit. You will be joining our collaborative
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and teaching. We are seeking to recruit a statistical researcher to provide statistical and epidemiological leadership for the team studying the Benefits and Risks of Cancer Treatments. The post-holder
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an ability to meet competing deadlines. A PhD in a related area, e.g. epidemiology, infectious diseases or bacterial antimicrobial resistance would be highly desirable. Applications for this vacancy are to be
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in close collaboration with the EPIC-Oxford Principal Investigators, Study Coordinator, epidemiologists and statisticians in the Cancer Epidemiology Unit, based at the University of Oxford. To be