191 data-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs at University of Oxford in United Kingdom
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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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addressed to Prof Maurice Fallon (mfallon@robots.ox.ac.uk). Further information can be found at: ● https://dynamic.robots.ox.ac.uk/ ● http://www.eng.ox.ac.uk/jobs Only applications received
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We are seeking a full-time Postdoctoral Research Assistant in Computer Vision to join the Visual Geometry Group (Central Oxford). The post is funded by ERC and is fixed-term for 2 years with a
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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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, in the Department of Biology and Ineos Oxford Institute, based in the new Life and Mind Building. More information on the research environments can be found at: https://sheppardlab.wordpress.com/ https
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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