126 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"IMEC" positions at King's College London
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that operates and maintain dedicated and technology enhanced facilities spread across different locations at King’s. Clinical education and learning are pivotal in developing and maintaining competencies in
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QUALIFICATIONS/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Control Science and Engineering, Process Control, Mechanical Engineering, Chemical Engineering, Computer Science, or a related field. In
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: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real-world data, with strong
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Kuberan Pushparajah and Dr Alessandra Frigiola within the Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, King’s College London. About the role Applications
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leading innovation at the interface of AI and disciplines such as Health, Technology, Security, Creative Industries, Business, Law and Education. The professors will serve as matter-expert champions
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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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based in the School of Biomedical Engineering & Imaging Sciences , and specifically within the MRI Clinical Research Department located in St Thomas’ Hospital. The School of Biomedical Engineering
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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& Engineering Sci. Department: Chemistry. Contact details:Marie Elves. marie.elves@kcl.ac.uk Location: Guy's Campus. Category: Professional & Support Services. About us The Department of Chemistry in
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of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation models. These models will leverage both imaging data and