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studentship is available in the Department of Computer Science at University of Sheffield, working on the topic of multi-modal AI for healthcare. In recent years, artificial intelligence (AI) technologies
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networks of these devices we will use digital twins; machine learning models trained to predict physical systems but are differentiable. This project will advance the machine learning methods, particularly
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materials using the framework of atomistic spin dynamics with coupled spin-lattice dynamics. To undertake this, we will first explore the use of machine learning to create models of the interactions between
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sensor data. Supervisor Bio Dr. Matthew Ellis’ research intersects machine learning and physics; looking to better integrate advances in both to create new paradigms for computing. With a background in
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EPSRC CASE Studentship. University of Sheffield and Syngenta Crop Protection Machine learning is increasingly used for decision making and molecular design in the pharmaceutical and crop protection
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Machine Learning Digital Twins of Spintronic Neuromorphic Devices Department of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Matthew Ellis Application Deadline
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University of Sheffield. These collaborations will enrich the research experience, offering unique insights and access to cutting-edge resources and expert guidance. This PhD project offers a challenging yet
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. To undertake this, we will first explore the use of machine learning to create models of the interactions between the spin and lattice in iron rhodium (FeRh) as a prototype anti-ferromagnet. Using
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Institution] - [Your Country]'. Supervisor Bio Dr Xi Wang is a Lecturer in Natural Language Processing at the Department of Computer Science, the University of Sheffield, with his research interests in
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, the University of Sheffield, with his research interests in Conversational AI, personalisation, retrieval augmented generation, as well as relevant topics among NLP and IR. About the Department/Research Group 99