46 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" research jobs at KINGS COLLEGE LONDON
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About Us The School of Biomedical Engineering & Imaging Sciences seeks to appoint an enthusiastic and proactive clinical research fellow to undertake research and imaging activities to spearhead
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data science techniques to model and classify population health risk and disease dynamics at multiple spatial and temporal scales. The PDRA will lead the development of novel approaches for managing
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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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About Us The School of Biomedical Engineering & Imaging Sciences at King's College London is a world-leading center for research and innovation in medical imaging, image analysis, and biomedical
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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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About Us The appointee will join the School of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation
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to provide technical support to the experimental work being undertaken in multiple projects within the lab. This may include carrying out experiments, co-ordinating the project, timelines and meetings, and
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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 of respiratory
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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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management skills, with the ability to manage multiple tasks and deadlines, and operate within regulatory frameworks. Proficiency in Microsoft Office and familiarity with qualitative or mixed-methods data