834 proof-checking-postdoc-computer-science-logic Fellowship positions in United Kingdom
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About us The School of Neuroscience at King’s College London is the second largest university neuroscience department in the UK, with approximately 100 faculty and a total of 600 staff and students. The School holds approximately £220 million in currently-active research grants, and, out of all...
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for a fixed term up to end of June 2028, ideally starting in September 2025. The position comes with an allowance to cover international travel and computing. Role Summary We are seeking to appoint
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Contract & job type: Full-time, Fixed-term for 3 years About us: At the Department of Physiology Anatomy & Genetics (DPAG) we undertake discovery science where we reassemble physiological processes
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The School of Social Sciences, Education and Social Work are currently seeking to recruit a Research Fellow. The post will entail supporting the PI with the preparation and delivery the funded
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You will be an active member of the Pharmaceutical Engineering Group to develop new, and support ongoing, research activities. This role involves supporting and advancing research activities through
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Research Fellow post funded through the NIHR DEMCOMM Fellowship Programme. This post supports a motivated qualitative researcher to contribute to dementia-related research, specifically focusing on the care
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feels they belong and is respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you
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publications and/or dissertation or equivalent evidence of expertise and completed research outputs Data science skills, especially data analysis and prediction modelling Proven ability to write code in Python
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Requirements Essential: • PhD (or near completion) in Chemical Engineering, Environmental Engineering, Sustainable Process Engineering, or a closely related field. • Demonstrated experience in techno
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for Patient Benefit programme, with the aim of developing and refining a multi-component behaviour change intervention for reducing delay and increasing identification of work-related asthma in primary care