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industrial partners who will be part of AlChemy – a new Hub involving Imperial College London, the University of Liverpool, and a large consortium of academic and industrial partners. There are two openings
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chemistry and machine learning academics. These posts offer the academic freedom and the deep science base of Imperial College London and University of Liverpool (including self-driving labs and high
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being a defining ethos. You will be part of the Health Inequalities Policy Research (HIPR) Group, in the Department of Public Health, Policy and Systems at the University of Liverpool. The HIPR vision is
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the development of machine learning and AI software solutions for the prediction of atrial fibrillation in patients after stroke. There will opportunities for involvement in other health data research projects
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An opportunity to lead work on materials design and discovery for an exceptional researcher with experience in developing and applying Artificial Intelligence and Machine Learning tools to materials
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both machine learning and symbolic AI. The discovery of new solid electrolytes is a core project target. You will have a PhD in Chemistry, Physics or Materials Science. The post is available from 1 May
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the development of machine learning and AI software solutions for the prediction of atrial fibrillation in patients after stroke. There will opportunities for involvement in other health data research projects
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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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¿. This team is developing a new approach to materials design and discovery that combines experiment with computation, exploiting both machine learning and symbolic AI. Experimental materials synthesis is the
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structure prediction and machine learning) and is funded through the Leverhulme Research Centre for Functional Materials Design. For example, we work closely with experts in computer science, and the