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also through attendance to conferences, student supervision and supporting applications for personal fellowships, as appropriate. You will hold a PhD in Computer Science, Mathematics or related
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post, you will hold a PhD or be close to completion, in epidemiology, medical statistics or a closely related field. You will also have experience in handling large and complex longitudinal datasets with
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objectives. You should hold a PhD (or be close to completion) in computer science, mathematics or related discipline, possess sufficient specialist knowledge across some/all areas of: symbolic/neuro-symbolic
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for all aspects of statistical input into IHTM research projects, including study design, data handling, statistical analysis, interpretation of result. It is essential that you hold a relevant PhD/DPhil in
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(e.g. PhD) in a relevant field, to enable appropriate engagement with the science/research conducted within the CDTs. They should have impeccable communication skills, including report writing and
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Surveillance of AMR and the postholder will have opportunities to engage and influence within this role. You should hold a PhD/DPhil in a relevant subject such as biological sciences, bioinformatics, data
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intended to provide a promising early career scholar with a congenial environment for the development of their research and academic administration beyond the doctoral level. You will have a PhD in a
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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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an academic administrative role and contribute to curriculum development. To be considered you will hold a PhD in health economics or a related quantitative area. Strong track record of publishing in peer
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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