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computational analysis of single cells and also interfacing with NHS colleagues at the Oxford University Hospitals NHS Foundation Trust. You will hold a medical degree (MB ChB or equivalent) and relevant PhD or a
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University and the College community. About you The ideal candidate will hold a PhD in social or behavioural sciences, data science, public health, epidemiology or closely related discipline, with an
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methods suitable for legged systems in physically-realistic simulated environments and on real robots. You should hold or be close to completion of a PhD/DPhil in robotics, computer science, machine
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the decision analytic modelling field research field and contribute to high quality reports for funding bodies and peer-reviewed outputs. You will hold a DPhil/PhD in health economics or a related quantitative
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dynamics and (at intermediate redshifts) strong gravitational lensing, thus preserving and extending the team’s lead in this field. Applicants should have a PhD (or close to completion) in (Astro) physics
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Contract & job type: Fixed-term, Full-time until 31 October 2026 About us: At the Department of Physiology Anatomy & Genetics (DPAG) we undertake discovery science where we reassemble physiological
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computational genomics to understand mechanisms underlying rare human disease with a goal to enhance both diagnosis and treatment. We have a highly collaborative, open-science approach. As part of CRDG, you will
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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute