28 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" Postdoctoral research jobs at University of Liverpool
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cutting-edge laboratory automation in a highly collaborative research environment. About you You will have a PhD (or equivalent) in a relevant area or field related to this project (Computer Science
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Ecological Sciences at the University of Liverpool (UoL), UK. The position is funded by a Natural Environment Research Council (NERC) Pushing the Frontiers award 'CALDERA: Collaborative Approach to integrate
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A Horizon Europe funded Postdoctoral Research Associate (PDRA) position is available at the Department of Cardiovascular and Metabolic Medicine and the Liverpool Centre for Cardiovascular Science
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We are looking for an enthusiastic and highly motivated Postdoctoral Researcher to join our dynamic research team in the exciting, interdisciplinary field of plasma-liquid interaction. This is a unique opportunity to contribute on new horizon research investigating how an optical plasma...
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transformation of society in western Europe (GREEKWEST)', which is funded by an ERC Starting Grant and hosted in the Department of Archaeology, Classics and Egyptology ( https://www.liverpool.ac.uk/archaeology
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transformation of society in western Europe (GREEKWEST)', which is funded by an ERC Starting Grant and hosted in the Department of Archaeology, Classics and Egyptology ( https://www.liverpool.ac.uk/archaeology
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We are looking for an outstanding and highly motivated Postdoctoral Research Scientist to join the PERMEDIC project team (https://perame.eu/), an exciting European Innovation Council (EIC) funded
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The Department of History (https://www.liverpool.ac.uk/history/) seeks to recruit a Postdoctoral Research Associate to work on 'Monastic Economies in the Carolingian Age - 'Farfa and Fulda', a
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in glaciology, environmental science, computer science, data science, or related discipline that is relevant to the role. The post is available from February 2026 and is fixed term for 24 months
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials