192 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" research jobs at University of Oxford
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to undertake analyses of neuroimaging measures, apply machine learning approaches to clinical and neuroimaging data, the development of clinical services, the conducting of meta-analyses, and the analysis of pre
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data collected within the clinic to be used for research purposes, by securing relevant permissions, developing relevant protocols and procedures, and supporting the implementation of these procedures
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criteria found in the job description, and why you would like to do this role. See guidance at https://www.jobs.ox.ac.uk/cv-and-supporting-statement. Any technical questions related to this vacancy can be
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About the role This fixed term, non-renewable, one-year postdoctoral position will support continuing analysis of data from the new London English Corpus, which has been developed as part of
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patients with high-risk type-2 high asthma (HOTHOT). You will recruit participants, conduct research visits as a medically-qualified investigator, support trial delivery and data collection, undertake
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, please contact Professor Keith Channon: keith.channon@cardiov.ox.ac.uk or cvm_personnel@cardiov.ox.ac.uk. For more information about working at the Department, see https://www.rdm.ox.ac.uk/ The University
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opportunity to pursue an independent programme of research in this critical area and to join Oxford University’s Tuberculosis Grand Challenge (https://www.ineosoxford.ox.ac.uk/ioi-grand-challenge-tuberculosis
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About the role The SalGo Team ( https://salgo.web.ox.ac.uk/ ) at the University of Oxford’s Department of Biology seeks a Postdoctoral Researcher to join the NERC Pushing the Frontiers project
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on the Application Form. Information about Plant Sciences at Oxford can be found at https://www.biology.ox.ac.uk or by contacting the head of the Molecular Plant Sciences Section (lars.ostergaard@biology.ox.ac.uk
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week) and funded for 9 months. It is based in the Department of Psychiatry at the Warneford Hospital. You will assist with data collection and qualitative analysis for the “SABHEE Study: Stories About