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will carry out experiments on the deposition of novel photovoltaic absorber materials, and the fabrication and testing of perovskite solar cells. The role is expected to require synthesis of precursor
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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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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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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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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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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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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
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Material Science, with significant experience in organic synthesis. We are especially interested in candidates with expertise in the synthesis and functionalisation of fluorophores, chromophores and other