14 structural-engineering-"https:" "https:" "https:" "https:" "https:" "University of Hertfordshire" research jobs 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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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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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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and experience: Essential criteria PhD Degree in a relevant area of the social sciences or humanities (e.g., history, sociology, anthropology, geography, political science, science & technology studies
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: david.jackson@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406107/research-assistant/… Requirements Additional Information Work Location(s) Number of offers
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Person: Dr Emmert Roberts Contact Details: emmert.roberts@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405740/research-fellow-in-… Requirements Additional
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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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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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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