165 computer-science-intern "https:" "https:" "https:" "https:" "Trinity College, Dublin" Postdoctoral positions at University of Oxford
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Applications are invited for a Postdoctoral Research Associate in Inorganic Chemistry to work under the supervision of Professor Dermot O’Hare for a period of up to 2 years. The project involves
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The Qing Laboratory at Oxford is recruiting postdoctoral researchers (multiple positions available) to join a Bill & Melinda Gates Foundation–funded programme focused on developing innovative
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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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datasets as well as core molecular biology techniques (e.g., DNA and RNA manipulation) is essential. You should hold a PhD in biological sciences and have previous experience in handling and injecting
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Applications are invited for a Postdoctoral Research Associate in Lanthanide Coordination Chemistry and Spectroscopy to work under the supervision of Professor Stephen Faulkner for a period of up to
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About the role We are seeking a full-time Postdoctoral Research Assistant to join Circular Economy and Sustainability Lab at the Department of Engineering Science (central Oxford). The post is
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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Musculoskeletal Sciences (NDORMS) is part of the Medical Sciences Division and is the largest European academic department in its field, running a globally competitive programme of research and teaching. The
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The INEOS Oxford Institute for Antimicrobial Research (IOI) is recruiting a Postdoctoral Research Associate to join a multidisciplinary programme focused on tackling antimicrobial resistance
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The postdoctoral researcher will lead the development of computational methods for aligning cortical organisation across species using transcriptomic and anatomical data combined with modern machine