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will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing
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connectivity of the broader community, training, networking, as well as state-of-the-art research. This post will develop artificial intelligence methods for the prediction of crystal structure, the critical
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connectivity of the broader community, training, networking, as well as state-of-the-art research. This post will develop artificial intelligence methods for the prediction of crystal structure, the critical
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mitigation strategies to resolve the challenges. About the person: The candidate for this role is expected to: Have or be about to obtain a PhD degree in Artificial Intelligence, or Software Engineering, or
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the School of Medicine. The group is internationally recognised for its work in the application of Artificial Intelligence (AI) and Digital Cancer Screening and collaborates with major NHS programmes, academic
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and Medical Sciences, in collaboration with the Surrey Institute for People-Centred Artificial Intelligence and the School of Mathematics at the University of Surrey. This fixed term role available from
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and Medical Sciences, in collaboration with the Surrey Institute for People-Centred Artificial Intelligence and the School of Mathematics at the University of Surrey. This fixed term role available from
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become available in the Faculty of Health and Medical Sciences, in collaboration with the Surrey Institute for People-Centred Artificial Intelligence and the School of Mathematics at the University
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commercialisation activities. A world-class, multidisciplinary research environment spanning optics/photonics, nanotechnology, artificial intelligence (AI), and clinical medicine. Fully equipped laboratories
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences