18 software-verification-computer-science-"TCAT-Jacksboro" Fellowship positions at KINGS COLLEGE LONDON
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About Us The Faculty of Life Sciences & Medicine brings together
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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About us The Department of Informatics at King’s College London is looking to appoint a Postdoctoral Research Associate or Fellow to work in the area of technical AI safety. About the role
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bioinformaticians at all stages of the analysis project workflow Desirable criteria Excellent computational skills applied to HPC, big data, software development and web technologies Experience in teaching
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and deliver research to tight deadlines. The role will involve collaboration with experienced researchers across medical statistics, epidemiology, informatics, social science and integration
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to deadlines Ability to work in a team Ambitious, enthusiastic, responsible, flexible Knowledge and experience of using database and other relevant software (eg statistical software) Excellent written
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from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental
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consists of over 15 different PI groups and 100 FTE spanning discovery science to implementation science with over £30Million of active funding. It is linked to the Liver Service at King’s College Hospital
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About Us This is an exciting opportunity for a medically qualified Clinical Research Fellow to join the Breast Cancer Now programme at King’s College London and contribute to the development of a
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from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental