573 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Oxford in United Kingdom
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plasticity would be useful but not essential as training will be provided. Informal enquiries may be addressed to Prof. Ed Tarleton (email: edmund.tarleton @eng.ox.ac.uk) For more information about working at
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documentation and guidance for the department. Be adept at maintaining data quality within DAE’s systems and databases. As first point of contact with alumni and supporters, building warmth and affinity with
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inference beyond human data and across many species, as part of a project focusing on predictive plant breeding. You will collaborate with an international team across the Universities of Edinburgh, Oxford
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to communicate complex financial information clearly are essential. Experience of research grant management and knowledge of Oracle Financials and/or X5 would be advantageous. The post is full-time (part-time
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the gathering and summarising of data for assay performance and assay validation reports. All relevant training will be provided in post. You will have a degree in a biological science or equivalent experience
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situated in the Big Data Institute on the University’s Old Road Campus. NDPH contains world renowned population health research groups and provides an excellent environment for multi-disciplinary research
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collaboration, and assisting with the preparation of a competitive large scale funding application to a major external funder, including coordination of supporting documentation, budgeting information, and
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using examples of your skills and experience. Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further information about the university
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where information or research material is restricted • Contribute to the design of research materials and make arrangements for data gathering • Gather, analyse, and present
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biology, mathematical and computational finance, numerical analysis, machine learning and data science or the Oxford Centre for Industrial and Applied Mathematics (OCIAM). The successful candidates will be