525 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Oxford
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. The closing date for applications is 12.00 noon on the 9th February 2026. Informal enquiries may be addressed to Louise.Bristow@eng.ox.ac.uk Further information can be found at http://www.eng.ox.ac.uk
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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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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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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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post-holders of post-doctoral fellowships, subject to approval by the funding body and the department(s)/college where the fellowship is held. Information on the programme can be found here: Intelligent
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to manage budgets and monitor financial activity. With strong analytical skills, enabling you to interpret complex data and provide insights that support decision-making, you will have experience identifying
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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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together leading researchers from Oxford, Cambridge, UCL, and Glasgow to develop next-generation brain stimulation and modulation systems. We are looking for a Senior Research Associate in Bioeletronics and
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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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health outcomes across individual, social, family, and school contexts. The successful candidate will work with large-scale UK datasets, including the OxWell Student Survey, which provide rich information