558 professor-computer-science-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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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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Interaction (HCI) and social science methodologies to lead the user research and policy development, as part of an interdisciplinary team investigating harmful user-generated content in virtual worlds as part
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adaptive platform designs. This will include contracting and programme management, delivery of work to time and target, dissemination of findings to academic and public audiences, and reporting to funders
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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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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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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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. 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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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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events. Applicants will possess a relevant PhD or equivalent qualification/experience in a related field of study – microwave/antenna engineering, electromagnetic metamaterials, and/or shape-morphing
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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