597 professor-computer-science-"https:"-"https:"-"https:"-"https:" 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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all procedures with clinical trial volunteers and you will provide broad clinical support to the HCV CHIM program (working with the project team, including a project manager). Giving clinical input
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involving industry and academia, funded substantially by the UK Space Agency. This is part of the UK Space Agency National Space Innovation Programme just announced by UKSA. The overall project is to develop
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Evaluation of a family intervention. The evaluation is being funded by the National Institute for Health and Care Research Three Schools Prevention Research Programme. We invite applications from candidates
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relevance. About you - You will: • Hold a doctorate in chemical engineering or a similar process-based discipline. • Have experience of creating and optimising chemical process models • Have a track
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Clinical Research Fellow (BRC Arthritis) - Department of Inflammation and Ageing - 100873 - Clinical
(with the Universities of Glasgow , Oxford and Newcastle); NIHR Healthcare Technology Cooperative (Trauma); and the Scar Free Foundation Burns Research Centre, as well as our key role in the NIHR
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a pioneering research programme on “Enabling consumers to make healthy financial choices“, focusing on how behavioural finance insights can be applied at scale through technology platforms to improve
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. The study integrates clinical, microbiological, and data science approaches to generate evidence and tools for safer, more targeted infection management in hospitalised newborns. Key output involves leading
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environmentally sound management of the materials contained in lithium-ion batteries. Researchers at the University of Birmingham will be investigating separation technology efficiency and characterisation
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of study. The successful applicant will have an extensive knowledge of dynamical systems, computational neuroscience and data science. In addition, we expect the candidate to have: Experience of interdisciplinary