567 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at University of Oxford in United Kingdom
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posts in Oxford. Further particulars, which include details of the application procedure, can be obtained from the University website (https://www.jobs.ox.ac.uk/). Enquiries about the post should be
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responsible for the day-to-day administration of the research project leading on data collection from young people participants using cognitive, behavioural, and clinical measures via lab-based assessments and
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before you submit an application https://hr.admin.ox.ac.uk/secondments Only applications received online by 12.00 midday (GMT) on Monday, 23 March 2026 can be considered. Interviews are expected
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of competitive benefits available to all staff for both work and personal life - https://hr.admin.ox.ac.uk/staff-benefits For informal enquiries about the post, please contact Ellie Tzima – ellie.tzima
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capabilities, and particularly the Experimental Medicine Clinical Research Facility (EMCRF) (https://www.kennedy.ox.ac.uk/news/oxford-and-gsk-launch-experimental-medicine-collaboration). This will allow testing
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the Educational Media Services team. The role will entail working with colleagues in Educational Media Services (https://help.it.ox.ac.uk/media) to support the teaching and learning objectives of the University
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to meet deadlines and building effective relationships with internal and external partners. You will collect, analyse and interpret quantitative and qualitative project data, generating insights to support
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12.00 noon on Friday 20 February 2026. Informal enquiries may be addressed to John Coull: john.coull@eng.ox.ac.uk Further information can be found at http://www.eng.ox.ac.uk/jobs/home Applications
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for applications is 12.00 noon on Friday 06 March 2026. Informal enquiries may be addressed to Professor Harrison Steel: Harrison.steel@eng.ox.ac.uk Further information can be found at http://www.eng.ox.ac.uk/jobs
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our past / current projects include Global.health ( https://global.health ): an improved, scalable platform for disease tracking created by an international team of researchers from leading institutions