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linkage purposes to better characterise health outcomes and their sub-types. To be considered, you must hold (or close to completion of) a PhD in computer science, mathematics, software engineering or
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should be medically qualified, ST3 and above, have full GMC registration and already hold, or have submitted for Higher Degree (PhD/DPhil/MD). Applicants must also hold a current National Training Number
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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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programmes, and to perform administrative and mentorship functions associated with teaching and research. We invite applicants who have a PhD in Archaeology or closely related field (at the time of
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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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company in the private sector coupled with a higher degree such as a PhD would be desirable. Application Process If you would like to discuss this role please contact [email protected] Applications
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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