36 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " positions at KINGS COLLEGE LONDON
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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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Deadline 5 Feb 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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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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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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geography/remote sensing, ecology, statistics, engineering, quantitative social sciences, or a related discipline. Experience in developing models and mapping with real world data, with strong programming
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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