119 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" Postdoctoral research jobs at University of Oxford in United Kingdom
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activities, adapt existing and develop new scientific techniques and experimental protocols, test hypotheses and analyse scientific data from a variety of sources, reviewing and refining working hypotheses as
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successful careers and build skills in achieving impact, so their findings can influence real-world change. Responsibilities include: • Supporting and conducting data collection across the research
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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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modulation of disease-relevant cellular readouts. The postholder will lead major experimental workstreams within the programme, taking responsibility for experimental design, data generation, and integration
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. They will have experience working with bioacoustic and camera trap data and be familiar with deep learning methods, with a proven track record of training and applying audio signal classifiers. The successful
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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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We have a new and exciting Postdoctoral Research Assistant position available within the CRC-STARS spatial biology team, analysing and interpreting spatial transcriptomic data. You will work on the
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, functional genomics data analysis or molecular genetics. You will have the ability to manage your own academic research and administrative activities and have a track record, commensurate to your career stage
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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