356 structural-engineering "https:" "https:" "https:" "https:" "https:" "ICube laboratory CNRS" Postdoctoral positions in United Kingdom
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of molecular motors (myosins and kinesins) and the cytoskeleton (actin, septin and microtubules) during vaccinia virus egress. This work will employ a combination of biochemical, structural and cellular
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Immigration’s (UKVI) Points Based System in order to take up the role, will be required to apply for an Academic Technology Approval Scheme (ATAS) Certificate and will need to obtain this prior to making any
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THE CENTER FOR MATERIALS INNOVATION AND TECHNOLOGY (CMIT) Materials science underpins nearly every modern technology from clean energy and AI to electronics, biomedicine, defense, and space
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of the ZTW under the supervision of the HAITrans research group leader Univ.-Prof. Dragoș Ciobanu, PhD. Your personal sphere of play: Your future position is within the HAITrans research group (https
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to apply Website https://www.timeshighereducation.com/unijobs/listing/406414/postdoctoral-resear… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteDURHAM
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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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centres (https://www.dur.ac.uk/business/research/research-centres/) blend leading theoretical perspectives with a strong emphasis on impact and engagement with practice, noted in www.durham.ac.uk/business
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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