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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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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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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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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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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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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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relevant field (Chemistry, Computer Science, Engineering, Materials Science or Physics etc.), expertise in computer-vision is essential, chemistry, materials science or data science background would be
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accelerator laboratories, the R&D work of the Liverpool Hadronic Matter Group focuses on the development of Monolithic Active Pixel Sensors (MAPS), the state-of-the-art silicon sensor technology for high
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-dimensional hierarchical structures* (£1.6m), which Dr *García-Tuñón* holds. You will join the team working at the interface between materials, chemistry, and engineering. This is a unique opportunity to apply