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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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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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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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. Tanvir Hussain Industrial Supervisor (if applicable): Dr Chris Bullough Programme Length: Four years Industry Sponsor Information The UK High Temperature Power Plant Forum (UKHTPPF) is an organisation
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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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to work effectively both independently and within a research team Desirable Competences The prospective candidate may also have: A background in architecture or interdisciplinary built-environment fields
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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