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, engineering, mathematics or computational, have experience in the use of biomedical/clinical imaging data, have proven experience in programming (Python preferably) for medical imaging processing and machine
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. You will hold a relevant BA or MSc degree in Mathematics, Engineering, or a related field. Knowledge of medical statistics and experience analysing large datasets, experience in biostatistics and/or
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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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presentations/reports as required. It is essential that you hold a relevant post-graduate qualification in bioinformatics, computational biology, biostatistics, applied mathematics, or related discipline, and
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We are seeking an enthusiastic Postdoctoral Research Assistant in Medical Statistics, with an interest in Artificial Intelligence (AI), to join the Computational Health Informatics (CHI) Laboratory
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, potentially through a planned master's program or a pre-doctoral fellowship, specialising in the area of statistics and/or health economics. You will be based in the Medical Statistics Team, Nuffield Department
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The Radcliffe Department of Medicine (RDM) within the Medical Sciences Division is one of the largest departments in the University of Oxford. Headed by Professor Keith Channon, RDM is a multi-disciplinary
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at the intersection between chromosome biology, flow cytometry, microfluidics and molecular/epigenetic analysis. The group’s current work focuses on determining the repertoire and role of proteins that remain bound
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bioinformatics, computational biology, biostatistics, applied mathematics, or related discipline. You will have demonstrable specialist bioinformatics knowledge, skill and experience to develop and oversee large
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students. To be considered you will hold a degree at Masters level or equivalent, with substantial numerical content, eg mathematics, statistics, computer science, or a physical science. Experience and