200 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at University of Oxford
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: aidong.yang@eng.ox.ac.uk) For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on Monday 16 February 2026 can be
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Cathy Ye (email: hua.ye@eng.ox.ac.uk) For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on 30 January 2026 can
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provide advice and guidance to research students. You will manage your own research and administrative activities, within guidelines provided by senior colleagues. You will gather and manage ecological data
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out how you meet the selection criteria for the post, using examples of your skills and experience. Click here for information and advice on writing an effective Supporting Statement. As part of your
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that form our core research programme. They will be a cornerstone of the centre, collaborating across our three Research Pillars to generate hypotheses and data to underpin subsequent grant applications and
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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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space-time modulation metasurfaces. Responsibilities include collecting and analyzing experimental data, publishing results, and presenting findings at conferences. This role may involve superconducting
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three Research Pillars to generate hypotheses and data to underpin subsequent grant applications and high-profile publications. In this role you will lead on the delivery of the assigned CoRE research
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of technology, economy and our everyday life. Machines perform comparably to, or even surpass humans in playing board and computer games, driving cars, recognizing images, reading and comprehension. It is
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-scale single-cell data from primary human tissues, spatial transcriptomic data, and experimental genomic screens. We are now seeking a highly motivated and well-organised Research Assistant to support a