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, specifically in the Data Solutions team, which plays a pivotal role in delivering enterprise-wide data solutions. The team is at the forefront of modernising King’s data infrastructure, driving innovation
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of the large-scale programme and associated projects of the Data & Digital Alliance Team (DIGIT) of the Mental Health Goals Programme. DIGIT-MHG is part of a UKRI funded programme to create an innovative
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of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information on what criteria will be
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for a Lecturer position in Data Science/AI. We seek an outstanding researcher and teacher who will contribute to our Data Science, Artificial Intelligence, and broader Computer Science programmes
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combined with human support. To learn more please visit https://www.kcl.ac.uk/research/embrace About the role The Research Fellow in Digital Health & Data Sciences is focused on the development and
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groundbreaking symbiosis of cutting-edge AI combined with human support. To learn more please visit https://www.kcl.ac.uk/research/embrace About the role The Research Fellow in Digital Health & Data Sciences is
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1970’s and provided a significant number of samples during that time, covering different cancer types. These samples have been acquired under documented procedures and linked to verified clinical data
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of administration for the Centre, including event management. This will include working closely with the RSS Manager to communicate information effectively across the King’s NIHR RSS partnership including Greater
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submission to regulatory authorities. We develop molecular and flow cytometry assays to detect CAR T cells in patient samples for translational studies. Our laboratory is closely linked with the clinical
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community. You will take the lead in designing and creating a range of visual elements such as graphics, illustrations, data visualisation and animations for a range of online courses. You will be responsible