19 computer-processor-phd "https:" "Ulster University" Postdoctoral research jobs at KINGS COLLEGE LONDON
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provided funding is available. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in computer science, AI or related
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in computer science, AI or related area Proven experience of semantic technologies such as
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Research (NIHR) BioResource . It is led by researchers at King’s College London, in collaboration with researchers at Ulster University, University of Edinburgh, and Cardiff University. GLAD was launched in
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United Kingdom Application Deadline 4 Jan 2026 - 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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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About us The
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24 Dec 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Biological sciences Computer science Mathematics Researcher Profile Recognised Researcher (R2) Established
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recognised scientists and clinicians from across the School and King’s College London. More information: https://www.kcl.ac.uk/scmms About The Role This is an exciting opportunity for a Postdoctoral Research
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) Country United Kingdom Application Deadline 19 Jan 2026 - 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
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‘Work, Welfare Reform and Mental Health’ programme. This involves collaborating closely with an interdisciplinary team of researchers as well as the Centre’s academic and community partners, as part of
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and experience: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real