86 structural-engineering "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at KINGS COLLEGE LONDON
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specific research focus may be considered, but preference will be given to candidates with subject matter expertise in the following areas: professional military and security education; disruptive technology
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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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an international research profile in areas such as: Systems security, Security engineering, Security testing, Computer forensics, AI for security and privacy, Security and privacy of AI. Our department addresses
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teaching, research and clinical practice is embedded across five Departments. More information: https://www.kcl.ac.uk/slcps About the role We are looking for a skilled biomedical scientist with a strong
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About Us The post will be based at St Thomas’ Hospital in central London in the School of Biomedical Engineering & Imaging Sciences at King’s College London: https://www.kcl.ac.uk/bmeis . There is
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activities. The post holder will be appointed in the Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences (BMEIS), where their duties will include academic, clinical
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be given to candidates with subject matter expertise in the following areas: professional military and security education; disruptive technology and AI; Russian strategy and doctrine; military
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information: https://www.kcl.ac.uk/slcps About the role We are looking for a skilled biomedical scientist with a strong interest in the human microbiome, clinical test development and have proven relevant
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of central London. For more information: https://www.kcl.ac.uk/engineering About the role This role will support the delivery of a mesh generation project, funded under a recent major £7m EPSRC Programme Grant
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synthesis of novel structures chosen from understanding of initial series of compounds and their performance from MRC grant MR/T015845/1) in terms of measurements of efficacy using a validated in vivo model