150 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at King's College London in United Kingdom
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opinions to more senior colleagues to assist them with programme decisions. To ensure that procedure and programme documentation is kept up to date and stored appropriately. To support educational
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work make a real-world impact? King’s College London is seeking a talented Postdoctoral Research Associate to join the pioneering NanoCure project, an ambitious programme developing medical-grade
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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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Metabolic Medicine & Sciences, Life Course & Population Sciences, Basic & Biomedical Sciences, Biomedical Engineering & Imaging Sciences, and Immunology & Microbial Sciences) and where relevant the Centre
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to cutting-edge efforts to predict and understand psychosis and affective disorders. We welcome applicants with a background in psychology, psychiatry, biomedical engineering, or related disciplines who
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intensive research and/or technologically focused environments, with a strong interest in science and technology, particularly in growing areas such as artificial intelligence. Strong networking
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-design, and entrepreneurship within the Digital Health Academy and our Innovation Scholars Programme. You will lead on creating a new module, Navigating Governance in AI-driven Healthcare, giving learners
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translational and clinical research. Members of the centre have international reputations in mineralised tissue research, biomaterials, tissue engineering, device and diagnostic technology development
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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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are looking for candidates to have the following skills and experience: Essential criteria PhD in spatial epidemiology, quantitative geography/remote sensing, ecology, statistics, engineering, quantitative