363 structural-engineering "https:" "https:" "https:" "https:" "https:" "U.S" Postdoctoral research jobs in United Kingdom
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ERC funded project on the human gut-brain axis (https://cordis.europa.eu/project/id/865568). The ideal candidate will have strong expertise in data analysis related to gut microbiota and metabolite
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About the role The SalGo Team ( https://salgo.web.ox.ac.uk/ ) at the University of Oxford’s Department of Biology seeks a Postdoctoral Researcher to join the NERC Pushing the Frontiers project
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criteria found in the job description, and why you would like to do this role. See guidance at https://www.jobs.ox.ac.uk/cv-and-supporting-statement. Any technical questions related to this vacancy can be
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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
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ubiquitylation (http://www.ppu.mrc.ac.uk/). Many world-leading researchers in the field of signal transduction have trained within the MRC PPU. The major aims of the MRC PPU are to advance understanding
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AutoBorder – https://cordis.europa.eu/project/id/101225829 – funded under the EC Civil security for society workprogramme (border security and external security). A key aim of AutoBorder is to build and
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online application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 12:00 midday on 9 February 2026
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at https://jmhutson.webspace.durham.ac.uk and a description of recent research achievements and current projects is available in a link from there. The successful applicants will work to understand
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project AutoBorder – https://cordis.europa.eu/project/id/101225829 – funded under the EC Civil security for society workprogramme (border security and external security). A key aim of AutoBorder is to
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within the Department of Mechatronics and Biomedical Engineering, the postholder will play a central role in designing, testing, and optimising a modular hybrid energy–food–waste system combining