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the transition to global environmental sustainability. Reporting toLead, Machine Learning, Oxford Sustainable Finance Group To be a successful candidate will need to hold a relevant PhD/DPhil in information
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researchers currently using the resource. To be considered for the role you will be educated to a relevant PhD/DPhil (or be close to completion), in epidemiology, statistics or a related subject. Proficiency in
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biological sources (i.e. cell cultures, including iPSCs and other relevant tissues and specimens). It is essential that you hold a PhD/DPhil (or close to completion) in biology, chemical biology, pharmacology
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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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Applications are invited for a Senior Machine Learning Scientist to join the Medical Statistics group, with a combination of research and teaching responsibilities. The successful applicant will
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management. The duties also include providing advice and supervising staff and students in the group on a day-to-day basis. It is essential that you hold a PhD/DPhil in Genetics, Genomics, Statistical Genetics
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machine learning algorithms to support cutting-edge analyses of complex datasets. It is essential that you hold a PhD/DPhil (or close to completion) in statistics, machine learning, bioinformatics
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of medical statistics on our syllabus. You will hold a doctoral degree (e.g. PhD) and have a strong publication record as a statistician (or similar) in medical research. You should be prepared to take a
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. The ability to draft sections of manuscripts for publication and present statistical results at conferences is essential. A PhD (or equivalent) in a relevant scientific subject (or near completion) is desirable
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on bioinformatics, and present results at scientific meetings To be successful in this role, it is essential that you hold a PhD in Immunology, Bioinformatics, Statistics, Mathematics, Computer Science