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positive approach to learning. The role will involve working as part of a large, national consortium to support the creation of a `science pipeline¿ in a highly collaborative environment. This post is
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of influential knowledge leadership bringing the School together with students, business and society in learning to make a difference. Over the last five years ULMS has engaged in extensive recruitment of academic
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of materials (e.g., combining structure prediction and machine learning). For example, we work closely with experts in computer science as part of the Leverhulme Research Centre for Functional Materials Design
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Navigation of Chemical Space for Function¿. This team is developing a new approach to materials design and discovery that combines experiment with computation, exploiting both machine learning and symbolic AI