448 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"CUBO" Postdoctoral positions in United Kingdom
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to reduce inequality in high-income countries, and/or (3) the study of social mobility and its relationship to economic inequality. The post holder will work with the INET Oxford programme on Economics
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part of an interdisciplinary team based at the Department of Biochemistry, University of Cambridge (Professors Chris Smith and Dr Katherine Stott) and the College of Life Sciences, University
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The University of Oxford is a stimulating work environment which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global
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with fluorescent in situ hybridization of plant samples. Successful applicants will also have a PhD in the life sciences and a record of research productivity. Good communication skills, organization
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Assessment (HTA) Programme. This post will be based in the Department of Primary Care and Mental Health within the Global Mental Health Research Group and the Liverpool Review and Implementation Group (LRIG
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obtaining grants from national and international funding bodies You will hold a PhD/DPhil in Social Sciences or a related subject, have excellent communication skills, and possess a track record of original
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Location: Department of Chemistry, Chemistry Research Laboratory, 12 Mansfield Road, Oxford, OX1 3TA The INEOS Oxford Institute for Antimicrobial Research (IOI) is seeking a Postdoctoral Research
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, positive, creative, challenging and rewarding place to work. To be part of a diverse and vibrant international community Comprehensive Staff Benefits, such as a generous holiday entitlement, competitive
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School of Mathematical Sciences Location: Bailrigg, Lancaster, UK Salary: £33,002 to £37,694 Full-Time/Indefinite with End Date Closing Date: Sunday 22 February 2026 Interview Date: Friday 13 March
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space while maintaining favourable pharmacological properties. A key feature of this project is the use of continuous-flow chemistry to enable the efficient, reproducible, and scalable synthesis