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. Each Lab may focus on either foundational AI methods or application-driven domains and is designed to expand well beyond its core endowment by attracting industrial collaborations and competitive
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should be of interest to you. The Department has a thriving research programme with a focus on the development of mathematical and statistical methods for real-world applications. Fields of interest
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to study the time evolution of battery electrolytes and interphases. This project will involve developing multi-scale simulation methods, but technical aims related to mitigating electrolyte degradation and
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of Chemistry. This position is intended to begin January 1, 2026. The aim of this project is to develop and apply computational methods for statistical learning on chemical reaction network (CRNs) structures
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on the topic: ‘Developing advanced structural investigation and doping methods ’. Prof Sabine Ludwigs at Stuttgart University, Germany. One research project available on the topic: ‘Electrochemical doping