322 web-developer-university-of-liverpool research jobs at University of Oxford in United Kingdom
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candidate will have a doctorate in Statistics or a related discipline from a major research university, and an outstanding research record, as well as the potential to attract research funding
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develop the Programme. The post holder will specialize in Taiwan Studies whilst also having expertise in a disciplinary or interdisciplinary field including but not limited to politics, political economy
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About the role We have an exciting opportunity to join the dynamic research group led by Dr Jie Yang in the Department of Oncology at the University of Oxford. The group conducts research on T cell
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base, the partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry scientists. Within the partnership, small research teams will
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O’Brien’s research groups at the Department of Engineering Science (Central Oxford). The post is fixed term for two years and is funded by the EPSRC. The development of large-scale quantum computers will
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We seek to appoint a Research Associate (postdoctoral scientist) to join the prolific climate/weather/environmental and impact science community at the University of Oxford, that is interested in
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Pay Scale: STANDARD GRADE 7 Salary (£): £41,997 to £46,913, salary inclusive of a pensionable Oxford University Weighting of £1,500 per year (pro rata for part time appointments) Location
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Applications are invited for a 2-year, full-time, fixed-term Teaching Fellow in Twentieth-Century British History within the University of Oxford, Faculty of History, George Street, OX1 2RL, and
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University of Oxford research community. Prior experience with Drosophila melanogaster is NOT required, and we welcome applications from individuals keen to learn new techniques and develop new expertise. How
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. The project will define new near miss and severe morbidity definitions allowing us to identify electronically when significant events happen. We will then develop a large multi-centre maternity routine dataset