588 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"DESY" Fellowship positions in United Kingdom
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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applicant will work mostly within our Technology Assessment Review programme, undertaking research to support National Institute for Health and Care Excellence (NICE) decision making, and in our NIHR Evidence
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7 Apr 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Computer science Physics Researcher Profile First Stage Researcher (R1) Application Deadline 20 Apr 2026 - 00
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the QUASAR Group and the pan-European EuPRAXIA program, the Fellow will lead cutting-edge research in plasma accelerators while shaping and delivering advanced interdisciplinary training for doctoral
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Thomas. Working in collaboration with teams from the School of Chemistry, the School of Pharmacy, the Faculty of Engineering. Our goal is to apply engineering biology techniques to an apoferritin nanocage
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Research Fellow – Mesozoic plant chemistry and experimental taphonomy School of Biosciences, Sutton Bonington Campus Full-time, fixed term for 31 months Applications are invited for a Research
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Thomas. Working in collaboration with teams from the School of Chemistry, the School of Pharmacy, the Faculty of Engineering. Our goal is to apply engineering biology techniques to an apoferritin nanocage
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the Project PI. ii. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope of work of the projects within the timeframe to meet the
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2028 Background We are seeking a highly motivated Research Fellow to drive the underground infrastructure theme within the Quantum Technology Research Hub in Sensors, Imaging and Timing (www.quisit.org
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, and with expertise in quantitative and qualitative methods, to develop a training and capacity-building programme and lead research projects working on large datasets. On training and capacity-building