431 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at University of Oxford
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accordance with Student Support Plans, and collating, processing and sharing information with the relevant staff at appropriate times. • administrative responsibility for monitoring Clinical Medicine
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with outcomes of interest being detected by linkage to central NHS records and other healthcare data. Working within an established research team, you will carry out research, which is both
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evaluate success against key performance indicators. Further information on this role can be found in the job description. At Saïd Business School we believe in fostering a diverse and inclusive work
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financial data, and able to manage both the financial and administrative aspects of large and/or complex research projects. Strong IT skills are essential, including experience with Microsoft Word, Excel, and
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administration, preferably Red Hat Enterprise Linux. Experience in database performance optimisation, capacity planning, and backup/recovery using Oracle RMAN and Data Guard. Excellent problem-solving skills, with
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for hybrid working (typically 60% of working hours on-site and 40% remotely) More information about working at the School can be found on our jobs page . Application process Please upload a supporting
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criteria listed in the job description. Click here for information and advice on writing an effective Supporting Statement. To discuss the post in more detail, please contact James Lee, Quality Assurance and
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• Act as a source of information and advice to other members of the group on scientific protocols and experimental techniques • Collaborate in the preparation of scientific reports and journal
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information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on 6th January 2026 can be considered. You will be required to upload a
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project management, to co-ordinate multiple aspects of work to meet deadlines Adapt existing and develop new scientific techniques and experimental protocols Record, analyse, and interpret experimental data