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) will build upon 20 years of joint research with epileptologists in the UK reflected in over 50 publications, the unique data recorded in King’s College London (KCL) Hospital, developed methods
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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative AI, or active learning for materials applications. Integration of theory and experiment: Using computation and
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Research. KEY SELECTION CRITERIA We are seeking outstanding early-career researchers who meet the following criteria: Educational Background: At least a PhD in AI, Computer Science or related fields from a
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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative AI, or active learning for materials applications. Integration of theory and experiment: Using computation and