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collaboration with Professor Rafael Perera-Salazar (Nuffield Department of Primary Care Health Sciences, University of Oxford). You should possess a relevant PhD (or near completion*) in Engineering, Mathematics
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Population Health, Mathematics, Statistics, Computing, or a related subject, alongside demonstrable experience working with large scale datasets. Proficiency in the use of statistical programming languages and
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, bioinformatics, statistics, machine learning, computer science, mathematics, or a related discipline. have demonstrate experience in Python programming and high-performance computing, together with experience in
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About us: At the Department of Physiology Anatomy & Genetics (DPAG ) we undertake discovery science where we reassemble physiological processes at the molecular, cellular, tissue and systems level of organisation. In so doing we provide a bridge to translational medicine, and interface between...
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mental wellbeing among staff members. Please visit our website to find out more about the Department. About you You will hold a PhD/DPhil (or be near completion) in Bioinformatics, Statistics, Mathematics
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About the role A position is available for an enthusiastic and highly motivated Post-Doctoral Research Associate to join the research groups led by Prof Carlo Rinaldi at the University of Oxford. The group explores genetic causes of neurological disorders and aim to develop therapies for these...
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completing, a PhD/DPhil in Health Economics, Economics, Statistics, Epidemiology, Health Data Science, Mathematics, or another quantitative discipline, and will have experience in health economics, disease
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The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The...
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. Essential Requirements Applicants should hold, or be close to completion of, a PhD/DPhil in a relevant discipline such as bioinformatics, computer science, applied mathematics, computational biology or a
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physics, atmospheric science, Earth observation, applied mathematics or a related quantitative field. Knowledge of remote sensing or comparable geophysical data analysis would be an advantage, and