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multidisciplinary team to electrochemically characterise new cathodes for lithium-ion batteries. You should have a PhD in chemistry or materials science and a track record of electrochemical or battery research
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An exciting opportunity has a risen within the E.P.S.R.C. Centre of Doctoral Training (CDT) in Digital and Automated Materials Chemistry to support the effective operation of the centre. The goal
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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track
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use automation to accelerate materials discovery and where possible to free up researcher time. You should have a PhD in relevant field (Chemistry, Materials Science, Chemical Engineering etc
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science. This position forms part of an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of
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from ambitious researchers with the skills in solution and understanding of the structures of new materials across chemistry, physics and materials science. This position forms part of
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An opportunity to lead work on materials design and discovery for an exceptional researcher with experience in developing and applying computational chemistry tools to materials science. This
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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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computational methods can direct synthetic strategies, identify new candidate materials, and rationalise observations, ultimately contributing to improved material performance. A PhD in Chemistry, Materials
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a recent paper (*Science*, **2024**, *383*, 739) in which the understanding of fast ion transport in solid electrolytes is redefined. Expertise in the discovery of new inorganic materials and their