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at the University of Oxford. You will be responsible for managing your own academic research and administrative activities, and keeping records of all experimental results. You will test hypotheses and analyse
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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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. MSc/PhD) in data science, statistics, epidemiology, or a related subject, have significant experience in analysis of large complex epidemiological datasets, using Stata, R or SAS, and have excellent
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and data sharing and deposition via appropriate portals, as well as keeping abreast of advances in the field, disseminating these to the team and implementing them as required. You will hold a PhD in
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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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supervision for DPhil students and research assistants, as well as support of grant applications and ongoing grant progress reporting. The essential selection criteria are holding a PhD/DPhil in Computer
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are holding a PhD/DPhil in Computer Science or related discipline, demonstrated experience in Foundation Models (generative AI) as well as Bayesian machine learning, ML security, or general deep learning, a
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runs an enormous amount of social groups and sports clubs for those looking for more than just a great place to work. About you You will either hold a PhD/DPhil, or be near completion of a PhD or DPhil
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We are looking for a motivated Research Associate to play a key role in Project FAIR, a collaboration between Universities of Oxford, Cambridge, Edinburgh, Warwick, University College London and The