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the discovery and optimization of high-performance functional materials through a fully integrated, interpretable AI platform. MAIAMI aims to establish a paradigm shift in materials science by embedding
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approaches, where data storage and processing occur simultaneously at the materials level, inspired by the operation of the brain. This includes research on unconventional computing paradigms, such as
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assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy fields. Part of the project will also include the development of deep learning frameworks for TEM image
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computer-based systems and the preparation of data for inclusion in lab books, presentations and publications. Maintain a hardcopy or electronic lab book · Work in compliance with relevant Health and Safety