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The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. We are...
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, applied mathematics, physics, or computer science. You should have experience in developing and applying statistical methods and in programming. Experience in analysing high-dimensional datasets is highly
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number of areas of computer science and mathematics, including verification, control theory, logic, and number theory. We will support your career development, through supporting your scientific work, and
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to deliver the Mathematical Reasoning programme for Year 2 pupils. The project is funded by the Education Endowment Foundation (EEF) and the post-holder will join the interdisciplinary Reasoning First team
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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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of Control Engineering, mathematical modelling and Engineering Biology are being sought. The successful candidate will work in collaboration with our interdisciplinary team that includes experts in synthetic
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the globally-distributed tskit-dev team. It is essential that you hold a PhD/ DPhil (or close to completion) in a quantitative science subject, together with experience in mathematical population genetics, in
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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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An exciting opportunity for a qualified and experienced professional to join a large kitchen brigade in one of Oxford’s busiest and most prestigious college kitchens. You will be preparing a wide range of wholesome meals using the finest ingredients for our students, as well as using your skills...
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) 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. With