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AI hardware beyond traditional computing architectures. Gain a unique combination of skills in mathematics, machine learning, and photonics. Be part of a multidisciplinary research team spanning
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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the postgraduate research environment. As a PGR at the University of Nottingham you will benefit from training through our Researcher Academy ’s training programme. Based within the Faculty of Engineering you will
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work — and how to design better ones. Why apply for this PhD? Work on the next-generation AI hardware beyond traditional computing architectures. Gain a unique combination of skills in mathematics
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experience in universities or large enterprises, especially in the following areas: artificial intelligence, software engineering, computer security, programming and computer architecture. Candidates must have
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an interdisciplinary team of academics in architecture and environmental sciences, you will contribute to new insights into the effectiveness of these interventions, helping to inform the design of future schemes aimed
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will not be considered. Requisites: 1st or a 2:1 in Architecture and an English qualification of 6.5 in IELTS (no less than 6.0 in each element). Other requirements are listed in the programme
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science and its application to real-world technologies. This project aims to redefine how dielectric failure is understood and controlled, introducing a new architecture-led design approach rather than
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awarded within 3 years in business administration, computer science, information systems, data science, or a related discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas
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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