48 linked-data-"https:"-"https:"-"https:"-"Bath-Spa-University" PhD positions at University of Nottingham
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of data. What is needed, therefore, is a test method in which creep strain is developed without changing the cross-sectional area. This PhD proposal seeks to concentrate on the formation of oxide scale and
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of projects you are interested in). Successful applicants will be invited to submit a formal application via the NottinghamHub. When submitting an EOI form, please include the following information: Your
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, please include the following information: Your personal details for processing the application. A copy of your passport and, where relevant, include evidence of settled or pre-settled status. Your personal
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electronics) to process information efficiently. You will work at the intersection of mathematics, physics, electrical engineering and AI, helping to develop a theory that explains how and why these systems
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, and hence early applications are strongly encouraged. Contact Information For general application or process enquiries, please contact: For academic enquiries, please contact:
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. These studentships are open until filled, early applications are strongly encouraged. Contact Information For general application or process enquiries, please contact: For academic enquiries, please contact:
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trigger redesigns across multiple groups. The challenge is compounded by the fact that each discipline uses different data models and representations, making system-level interdependencies difficult
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Data is more valuable than oil, so it has been said. Quantum computing offers new unusual datasets thereby presenting new opportunities for AI approaches. Quantum computing is raising the prospect
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resolution. This PhD offers the opportunity to conduct cutting-edge research with direct industrial impact, combining fundamental fluid mechanics with modern data-driven techniques. The successful candidate
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the network, and every synapse is updated, on every epoch. Recent work has begun to challenge both halves of this independently. Progressive Data Dropout has shown that progressively reducing the training set