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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
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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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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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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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in the Department of Eye and Vision Sciences at the University of Liverpool. This multidisciplinary project will develop a novel cell bandage to treat persistent corneal epithelial defects (PEDs). PEDs
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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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welcome applications from ambitious researchers with the skills to contribute to the project across chemistry, physics and materials science. This position forms part of an interdisciplinary team working
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power technology depends on a sustainable technology for the separation of hydrogen's three isotopes, but current methods are both energy intensive and inefficient. Nanoporous materials offer a less