24 computer-engineering-"https:"-"https:"-"https:"-"Univ"-"Embry-Riddle-Aeronautical-University" positions at KINGS COLLEGE LONDON
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About us: King’s Business School (KBS) is seeking a highly organised, professional and motivated Senior Programme Officer to join our Executive Education team on a fixed-term maternity leave
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: We are looking for a Senior Programme Officer to join our Professional Services team, working within the Faculty of Arts and Humanities at one of the most prestigious universities in the UK. This role
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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
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engineering, linked data, web technologies. About the role: The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out
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scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role
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and experience: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real
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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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About us The Department of Chemistry in the Faculty of Natural, Mathematical & Engineering Sciences (NMES) is a friendly and growing department seeking to recruit a full-time Senior Business
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, participate in educational evaluation or research, and apply educational technology and automation tools to enhance resource management and delivery. Candidates with experience in these areas will have the
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in spatial epidemiology, quantitative geography/remote sensing, ecology, statistics, engineering