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collaborative work with national (University of Manchester) and international (University of Regensburg, Forschungszentrum Jülich, Free University of Berlin) partners. Successful candidates will hold a PhD in
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computational pipelines suitable for downstream integrative and AI-driven discovery. The role includes training PhD students, contributing to grant applications, project planning, and leading the preparation
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close to completion of, a relevant PhD/DPhil in one of the following subjects: quantitative, genetic or molecular epidemiology, medical statistics or statistical genetics. You must have strong quantitative
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initiatives. To be considered, you must hold, or be close to completion of, a relevant PhD/DPhil in one of the following subjects: quantitative, genetic or molecular epidemiology, medical statistics
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analytical techniques, opportunities to supervise students, and involvement in manuscript preparation and future grant applications. It is essential that you hold (or are close to completion) a PhD in cell
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, orally, in writing and electronically and contribute to dissemination and impact-facing activities under the guidance of the Principal Investigator. Applicants will possess a relevant PhD (or nearing
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qualitative work. About You Candidates should hold a PhD (or be close to completion) in a relevant discipline, such as epidemiology, social epidemiology, data science, or medical statistics. We are looking
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the Physical & Theoretical Laboratory, South Parks Road, Oxford OX1 3QZ and are available as soon as possible. About you You hold (or are close to completing) a PhD in Chemistry, Physics, Materials Science
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developing cutting-edge active-learning (Bayesian optimisation) methods that integrate chemical knowledge by capitalising on Large Language Models (LLMs) as well as human knowledge. You should have a PhD in
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such as a Masters (Scottish Credit and Qualification Framework level 11) or PhD (Scottish Credit and Qualification Framework level 12). A2. A good and up-to-date knowledge in cognitive neuroscience