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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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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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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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. You will coordinate with another postdoctoral research associate, focused on computational modelling, and publish your research findings to achieve project goals. You will contribute to knowledge
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of science, STS, environmental history, or cognate disciplines. You must have an excellent understanding of the global history of science, experience working in archives, and ideally training or experience in
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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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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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¿ Covering letter explaining how your past research is suitable for the role, and your envisioned contributions to the Department of History ¿ 1-2-page research proposal outlining a programme of
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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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of benthic and demersal fish. The role is part of a grant led by University of Liverpool, funded by the Human Frontier Science Programme (HFSP), entitled Vibrational sensing and production in fishes