16 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at KINGS COLLEGE LONDON
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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
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this role. The role offers opportunities to engage in interprofessional or complex clinical simulation, participate in educational evaluation or research, and apply educational technology and automation tools
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, world-leading AI & technology companies, together with premier biotech companies, with the overarching aim to fast-track major scientific breakthroughs, revolutionise maternal and early childhood health
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Emsley Contact Details: richard.emsley@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406291/-professor-of-early… Requirements Additional Information Work Location(s
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promote the adoption of evidence-based interventions. See more at: https://www.kcl.ac.uk/policy-institute/about/edit About the role The Research Assistant (Evaluation Officer) will support EDIT in
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: 134325 Close Date: 29-Jan-2026 Contact Person: Thomas Pollak / Amy Aldridge Contact Details: thomas.pollak@kcl.ac.uk / amy.l.aldridge@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com
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@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406208/research-assistant-… Requirements Additional Information Work Location(s) Number of offers available1Company
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populations and space, particularly for vulnerable and disadvantaged populations. The RA will lead literature review searches to identify the historical, structural, and contextual drivers of disease risk and
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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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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