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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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About us: We are seeking to appoint a postdoctoral research associate with an excellent track record in semantic technologies and machine learning. Topics of interest in this area include, but
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About us The School of Global Affairs (SGA) in the Faculty of Social Science and Public Policy at King’s is a dynamic hub of multi-disciplinary scholarship that seeks to address the pressing issues facing our world today, including climate change, inequality and global health. At King’s, we...
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About us The post will be based in the KCL Social, Genetic, and Developmental Psychiatry Centre, within the Institute of Psychiatry, Psychology and Neuroscience (IoPPN). The centre offers a diverse
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Date: 19-Jan-2026 Contact Person: Lucy van de Wiel Contact Details: Lucy.vandewiel@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405487/post-doctoral-resea
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About us The School of Global Affairs (SGA) in the Faculty of Social Science and Public Policy at King’s is a dynamic hub of multi-disciplinary scholarship that seeks to address the pressing issues facing our world today, including climate change, inequality and global health. At King’s, we...
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by the National Institute for Health and Care Research (NIHR). About the role Applications are invited from highly motivated and talented candidates for a position of Post-Doctoral Research Associate
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are invited from highly motivated and talented candidates for a position of Post-Doctoral Research Associate to work on an NIHR-funded project evaluating Care (Education) and Treatment Reviews (C(E)TRs
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to develop novel computational methods for data integration and analysis Experience with machine learning approaches for biological data modeling and predictive analytics Good communication skills and
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metabolism Strong problem-solving skills and the ability to develop novel computational methods for data integration and analysis Experience with machine learning approaches for biological data modeling and