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to better predict incident disease from high-dimensional genetic and non-genetic data, quantification of trait heterogeneity and asymmetry from imaging data, leveraging biobank genetic and prescription data
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aligned with the project aims, and critically analysing, interpreting and presenting experimental data with scientific rigour and reproducibility. You will manage your own academic research and
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methodologies to test hypotheses, and identify suitable alternatives if technical problems arise Select, follow, and adapt experimental protocols Gather, analyse, and present scientific data from a variety of
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Clarendon Fund The Clarendon Fund offers around 200 new fully funded scholarships each year to outstanding graduate scholars. For more information, including details of the selection process, visit
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Oxford-Weidenfeld and Hoffmann Scholarships and Leadership Programme For more information about the scholarship visit the Weidenfeld and Hoffmann Scholarships and Leadership Programme page.
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the group, ensuring that information is communicated, logged and up-to-date. The post-holder will be responsible for recruitment and will be actively involved in all aspects of data collection, including
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The post holder will join the Physical Oceanography and Palaeoclimate groups in the Department of Earth Sciences and perform numerical model data analysis relevant to two projects: MEZCAL and
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We are seeking a Senior Researcher to join the Ideker Laboratory at the Big Data Institute (BDI) and the Nuffield Department of Population Health at the University of Oxford. The successful
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funded by the University and by NaturalMotion Ltd. NaturalMotion Ltd develops computational methods for animating movement, as used in Hollywood films and computer games. The founder, Torsten Reil, is an
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studies, data presentation, etc. Candidates also proficient in quantitative methods will be highly valued, but such skills are not essential. The postholder will be a member of the Saïd Business School’s