39 computational-complexity-"Prof"-"Prof" Postdoctoral positions at KINGS COLLEGE LONDON
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5 Sep 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Biological sciences Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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the Department of Informatics, part of the Faculty of Natural, Mathematical & Engineering Sciences (NMES). The department is internationally recognised for its contributions to robotics, AI, and human-centred
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About us: Applications are invited for a Postdoctoral Research Associate to work on the Improving Communication with Adults with Learning Disabilities (ICALD) research programme, funded by
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23 Oct 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Computer science Psychological sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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will conduct cutting-edge research at the intersection of neuroimaging, genomics, and computational modelling, with a focus on child and adolescent mental health. The successful candidate will primarily
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at familiar issues and deliver new tools to solve complex problems. About the role The Department of Mathematics at King’s College London invites applications for two postdoctoral research associate positions
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within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
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About us We are seeking a highly motivated postdoctoral research associate to join the group of Dr Saidul Islam at the Department of Chemistry, King’s College London, as part of our programme
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United Kingdom Application Deadline 30 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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their relationship with treatment responses and disease activity. This is an excellent opportunity to contribute to a collaborative research program dedicated to improving our understanding of ALS and informing future