33 assistant-professor-computer-science-data-"https:"-"https:"-"https:" Postdoctoral positions at University of Liverpool in United Kingdom
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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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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, Robotics, Mechatronics
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the research group of Professor Alex Cowan in the Department of Chemistry and the Stephenson Institute for Renewable Energy you will create an integrated platform with comprehensive data logging, enabling
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robotics, automation, artificial intelligence (AI), and data-driven technologies. This is a multidisciplinary collaborative project supervised by Dr John Ward, Professor. Andy Cooper FRS, and Dr Gabriella
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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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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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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
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ecological models using the Oceananigans.jl infrastructure. This is an exciting opportunity to be part of an international collaboration (the Simons Foundation funded Computational Biology in Marine EcoSystems
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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