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approach towards artificial intelligence that uses the natural dynamic behaviour of physical systems (such as light and electronics) to process information efficiently. You will work at the intersection
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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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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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Studentship Information Supervisor: Professor Ian Fisk Secondary Supervisor: Dr Vincenzo di Bari, Dr Louise Hewson, Mui Lim Subject Area: Food Science Research Title: Sodium Reduction in Coated
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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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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