527 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "INESC TEC" positions at University of Oxford
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within the Humanities Division, based at 99 Banbury Road, Oxford, specialising in the European 18th Century and digital text editing. We seek a Content Engineer to assist in maintaining and developing
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the lunar farside. The successful candidate will contribute to the development and scientific programme of the Lunar Farside Technosignature and Transients Telescope (LFT3; https://lft3.space). Lunar Farside
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About the role We are seeking a motivated and hands-on Graduate Engineer to join the Oxford Hypersonics Group within the Department of Engineering Science at the University of Oxford. This is a full
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Research Council rate (set at (£21,805 p.a. for 2026/2027 academic year) for 3 years. Please note the eligibility criteria set out by the UKRI at: https://www.ukri.org/what-we-do/developing-people-and-skills
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be found on our jobs page . About the role We are seeking to appoint a Programme Administrator to support the School’s Executive Fellowships and Visitors programmes. In this role, you will act as a key
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School is seeking an exceptional Programme Manager to join our high-performing Programmes Team. This is an exciting opportunity to help design, deliver and improve a diverse portfolio of initiatives
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About the role We have an exciting opportunity for a highly motivated Postdoctoral Research Scientist in Computational Biology to join the Oxford Vaccine Group (OVG) as part of the Correlates
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the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking an Early-Stage Researcher (ESR) to work
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cancer and heart disease. We are seeking a Web Application Developer with an excellent computing background and various web programming skills to join the Web Development team, working closely with a wider
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science, engineering, or a related discipline, with significant postdoctoral research experience. The ideal candidate will have strong expertise in computational biology, machine learning, and quantitative analysis