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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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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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violent outcomes such as domestic and sexual violence. Your responsibilities will include coordinating and managing the project, overseeing the research database, conducting statistical analyses
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an excellent environment for multi-disciplinary teaching and research. To be considered you will hold a PhD in relevant scientific subject. Strong experience, ability and practical success in machine
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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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remotely). You will have or be close to the completion of a PhD or equivalent in computational sciences (Mathematics, Engineering, Computer Science, Statistics), together with relevant research experience
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of) a PhD in epidemiology, nutritional epidemiology, molecular epidemiology, medical statistics or other relevant subject. You will also have an excellent understanding of statistical analysis
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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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statisticians, epidemiologists, oncologists, a surgeon, a radiotherapy physicist, and DPhil students. To be considered you will hold a PhD in statistics or a closely related field. You will have experience