14 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"LGEF" Postdoctoral positions at KINGS COLLEGE LONDON
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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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engineering, linked data, web technologies. About the role: The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out
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About us: King’s Telecoms Group has been part of the global ecosystem which designed and deployed telecoms technology, from 2G to 5G, and now 6G. King’s Telecoms Group has become a flagship hub of
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and experience: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real
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About us Our contemporary Chemistry Department, based in the Faculty of Natural, Mathematical and Engineering Sciences, provides an exciting place to explore the boundaries of the subject. The
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and experience: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real
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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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geography/remote sensing, ecology, statistics, engineering, quantitative social sciences, or a related discipline. Experience in developing models and mapping with real world data, with strong programming
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& technology studies, development studies); Strong research profile for career stage, as demonstrated through lead authorship of well-placed publications; Excellent interpersonal and communication skills
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. The successful candidate will work within a multidisciplinary team to unravel the metabolic drivers of HCC biology and transplant rejection through cutting-edge spatial multi-omics and computational metabolic