28 Mathematics positions at University of Oxford in Ireland-United-Kingdom in United Kingdom
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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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to the development of relevant mathematical models, write articles and presentation summarizing results of investigations. You should possess a PhD/DPhil or be near completion (doctoral thesis must have been submitted
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of Materials based within the Mathematical, Physical and Life Sciences Division at the University of Oxford on a temporary basis. The Division and Department is a truly inspirational and fascinating environment
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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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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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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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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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Immunology, Bioinformatics, Statistics, Mathematics, Computer Science or other related computational subject, have experience in the analysis of single-cell RNA-seq data (e.g. generated using 10X Genomics
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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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, statistics, mathematics, engineering or other relevant areas and have up-to-date knowledge in advanced AI topics, such as deep learning, representation learning, sequence models, NLP, multimodal AI, generative