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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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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
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An opportunity to join the Finance Department and contribute to the timely and accurate processing of all supplier invoices. The post offers an opportunity to work within the PIP team within the Finance Department. The postholder will report into the PIP team leader and must be a motivated...
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, University of Liverpool, working closely with academics in Chemistry, Computer Science, Materials Innovation Factory, Digital Innovation Facility and other departments, as well as partners across the larger
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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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communicate across the various disciplines of NMR and to support researchers; Experience in solid-state or liquid-state NMR in either Materials, Chemical or Biomolecular Research Sciences and a strong academic
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The School of Engineering, Department of Materials, Design & Manufacturing Engineering, seeks to appoint a research active, internationally outward looking member of the Teaching and Research (T&R
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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