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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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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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teaching that investigates the ways in which advances in biomedicine and biotechnology are changing expectations on life and health, as well as the nature of medical practice. About the role From 1920
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clinicians, we deliver research-led teaching that investigates the ways in which advances in biomedicine and biotechnology are changing expectations on life and health, as well as the nature of medical
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pre-existing projects (e.g. on the relationship between mental distress and the evolving nature of work), can choose to contribute to other existing projects (e.g. the WelfareExperiences project), and
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with Dr. Li and in collaboration with national and international interdisciplinary partners based at the UK Health Security Agency (UKHSA), University of Cambridge, Imperial College London, and John
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with Dr. Li and in collaboration with national and international interdisciplinary partners based at the UK Health Security Agency (UKHSA), University of Cambridge, Imperial College London, John Hopkins
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to research and career development from King’s Centre for Research Staff Development. The postholder will work closely with Dr. Li and in collaboration with national and international interdisciplinary partners
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with Dr. Li and in collaboration with national and international interdisciplinary partners based at the UK Health Security Agency (UKHSA), University of Cambridge, Imperial College London, John Hopkins
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volunteers and one in patient populations. Be involved in all aspects of the research: recruitment, data collection, management, public and patient involvement, imaging processing, and analysis. Liaise with