24 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at University of Liverpool
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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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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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Applications are invited for a Postdoctoral Research Associate (PDRA) position within the Department of Earth, Ocean and Ecological Sciences at the University of Liverpool (UoL), UK. The position is
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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
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community from across the Liverpool City Region to address the root causes of high levels of worklessness in many communities. The project aims to combine insights from economics, public health, and public
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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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A National Institute of Health and Care Research (NIHR) Health Technology Assessment funded Postdoctoral Research Associate (PDRA) position is available at the Department of Cardiovascular and
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Assessment (HTA) Programme. This post will be based in the Department of Primary Care and Mental Health within the Global Mental Health Research Group and the Liverpool Review and Implementation Group (LRIG
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of automated workflows for the analysis of existing remote sensing data archives and potentially near-real time analysis. You will work with the Principal Investigator (Professor. James Lea) to agree a programme