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care units (ICU). This research utilizes basic molecular, cellular and protein biochemical methodologies to comprehensively undertake bench-to-bedside research. With the collaboration of Chemistry
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of advanced catalytic materials, product and mechanism analysis and dissemination of results. You should have a PhD degree (or near completion) in Electrical Engineering, Chemical Engineering, Chemistry, or a
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both machine learning and symbolic AI. The discovery of new solid electrolytes is a core project target. You will have a PhD in Chemistry, Physics or Materials Science. The post is available from 1 May
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aim of the project. You will have a PhD in Physics, Chemistry or Materials Science. This post is available until 30 November 2026. Any applicants who are still awaiting their PhD to be awarded should be
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machine learning for functional materials design. You should have a PhD in Computer Science, Chemistry, Physics, Materials Science, or a related discipline, with a commitment to developing collaborative
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., for batteries or information storage), discovering entirely uncharted chemistry (e.g., multiple anion compounds), and the development of new methods that accelerate the discovery of materials (e.g., combining
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collaborators. The aim is to automate where possible to free up researcher time. You should have a PhD in relevant field (Chemistry, Computer Science, Engineering, Materials Science or Physics etc.), expertise in