39 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" research jobs at King's College London
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About Us The School of Cardiovascular and Metabolic Medicine & Sciences (SCMMS) is one of six schools that make up the Faculty of Life Sciences & Medicine (FoLSM) at King College London. The school
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: Essential criteria Be enrolled in or hold a first degree in biomedical engineering, robotics, or relevant discipline. Possess sufficient specialist knowledge in computer aided design, systems integration, and
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, engineering, psychology/HCI, computer science, or related discipline). For the appointment as the Research Fellow, a PhD degree is essential. Demonstrable experience coordinating complex projects or programmes
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, including clinical translation to benefit patients. The Programme is mainly hosted by the Research Department of Imaging Chemistry and Biology within the School of Biomedical Engineering & Imaging Sciences
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The Role The Department of Digital Humanities is a global leader in researching digital media, culture and society, and in exploring the use of advanced technology-related methods in humanities research
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and diagnostic applications, including clinical translation to benefit patients. The Programme is mainly hosted by the Research Department of Imaging Chemistry and Biology within the School
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in Dermatology and Population Health Sciences at King's College London. The A-STAR register is open at 65 sites across the UK and Ireland. A-STAR also has an embedded bioresource. About the role
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based in the Department of Informatics within the Faculty of Natural, Mathematical & Engineering Sciences (NMES), an internationally recognised centre for research in robotics, artificial intelligence
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Job id: 137725. Salary: £53,947 - £63,350 per annum, including London Weighting Allowance. Posted: 06 February 2026. Closing date: 22 February 2026. Business unit: Social Science & Public Policy
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. The broader goal of the overall programme, funded through the Wellcome Trust bioimaging technology development initiative, is to deliver multimodal datasets in an interoperable manner through open access