322 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at KINGS COLLEGE LONDON
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About Us The London Institute for Healthcare Engineering (LIHE) is part of the School of Biomedical Engineering & Imaging Sciences in the Faculty of Life Sciences & Medicine at King’s College London
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core member of the King’s Clinical Academic Training Office (KCATO); this role in particular will have overall programme management of the fellowship schemes funded by the King’s Health Partners Centre
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United Kingdom Application Deadline 2 Dec 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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12 Nov 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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opportunity to contribute to cross-cutting hubs (see https://www.kcl.ac.uk/informatics/research ). Research collaboration across research groups, with departmental hubs and with other Departments in the Faculty
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and teaching department. Research currently focuses on computational engineering, information processing systems, robotics, telecommunications, and biomedical engineering, but we are looking
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are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge engineering, linked data, web technologies. About the role
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an international research profile in areas such as: Systems security, Security engineering, Security testing, Computer forensics, AI for security and privacy, Security and privacy of AI. Our department addresses
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Engineers to join our busy Desktop teams. EUS Desktop Services support a wide range of users and their IT requirements, from basic troubleshooting and support, to provisioning new kit. We ensure the King’s
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to the Cybersecurity (CSY) group, where our work on cryptography sits, and will have the opportunity to contribute to cross-cutting hubs (see https://www.kcl.ac.uk/informatics/research ). Research collaboration across