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The Mathematical, Physical and Life Sciences Division are looking to recruit a full-time Graduate Funding Officer, who will manage graduate funding processes within the Division. The post will
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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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experience would likely come from economics, physics, or other computer and mathematical sciences. You will possess sufficient specialist knowledge in the discipline to work within established research
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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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to hold a PhD in Immunology, Bioinformatics, Statistics, Mathematics, Computer Science or other related computational subject. It is essential that you have experience in the analysis of single-cell RNA-seq
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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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We are looking to appoint a Part-time Research Group Administrator to provide comprehensive administrative support for The Oxford Psychological Interventions in Childhood and adolescence (TOPIC) research group led by Professor Cathy Creswell. The work of the team aims to improve outcomes from...
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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