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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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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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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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) 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
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of Statistics and the OMI. At the OMI, the postholder will collaborate with faculty members from various departments of the University (e.g., Mathematics, Engineering, and Saïd Business School). We proudly hold a
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, engineering, mathematics or computational, have experience in the use of biomedical/clinical imaging data, have proven experience in programming (Python preferably) for medical imaging processing and machine
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About the Blavatnik School of Government Our vision is of a world better led, a world better served and a world better governed. We are a global school committed to improving the quality of government and public policymaking worldwide, through three routes: teachingcurrent and future leaders;...
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We are looking to recruit a Senior Researcher to work as part of our team the Clinical informatics and Health Outcomes Research Group ( ORCHID ::: Oxford-RCGP RSC ). The successful applicant should have a keen interest to work with large primary care datasets (>19 million contemporary...
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. This RCT will evaluate the effectiveness of the programme in improving young children’s mathematics outcomes, with a particular focus on economically disadvantaged children. A keen interest in developmental