57 structural-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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of structural and molecular biology and biochemistry * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In
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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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complete in silico framework to accelerate the discovery of novel Polyhydroxyalkanoate (PHA) structures, which includes the creation of a high-throughput computational pipeline designed to engineer advanced
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, we are looking for candidates to have the following skills and experience: Essential criteria PhD in neuroscience, psychology, psychiatry, biomedical engineering, or related discipline. Documented
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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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Photonics & Nanotechnology Group ( https://www.kcl.ac.uk/research/photonics-nanotechnology ) involves the development and applications of advanced photonic technologies and of novel nanomaterials to address
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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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following skills and experience: Essential criteria PhD qualified in relevant subject area * Experience in cryo-electron microscopy/structural biology sample preparation and data collection Proficiency in