182 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" positions at King's College London
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Science, but not necessarily in a health-related field. They will also help to further develop ML models to predict patients’ clinical outcomes. This is a full-time post, and you will be offered an a fixed
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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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Integration Supervisor - Life Safety will be responsible for the integration, monitoring, and optimisation of all life safety-related building systems, provide technical support to operation engineering team
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qualified in computer science, mathematics, physics or similar disciplines * Demonstrated expertise in artificial intelligence, machine learning, deep learning, and data mining methods and algorithms Proven
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Job id: 139825. Salary: £45,031 - £51,174 per annum, including London Weighting Allowance. Posted: 26 February 2026. Closing date: 17 March 2026. Business unit: Faculty of Life Sciences & Medicine
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implementation of amendments Provide comprehensive advice to external and internal parties for the conduct of clinical trials across the partner organisations. To assist in maintaining the records of the clinical
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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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details:Sam Norton (Professor of Medical Statistics & Applied Health Research). sam.norton@kcl.ac.uk Location: Guy's Campus & Denmark Hill Campus. Category: Research. About us: King’s College London is one
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program, and four PGT programs. We specialise in the relationship between culture, media and the creative industries and as such, foster a highly interdisciplinary teaching and research environment. Our
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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