47 engineering-phd-"https:" "Multiple" Postdoctoral positions at KINGS COLLEGE LONDON
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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 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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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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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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for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in applied
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position within a Research Infrastructure? No Offer Description About us Our contemporary Chemistry Department, based in the Faculty of Natural, Mathematical and Engineering Sciences, provides an exciting
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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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position within a Research Infrastructure? No Offer Description About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and
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host of actin-binding proteins (ABPs) modulate the growth and stability of individual filaments or organise multiple filaments into various bundled and branched networks. This role will focus on a family
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candidate will lead computational lab analysis work across multiple projects, largely focussing on the perturbation of skeletal muscle cells (myofibres) during periods of environmental and/or genetic