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, electricity is generated by using the heat from nuclear reactions to produce steam and drive turbines. This is an inefficient process, with up to two-thirds of nuclear heat energy lost during the process of
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Advancing Blood Pressure Monitoring with Wearable Technology and Multimodal AI (S3.5-COM-Sun) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr Shaoxiong Sun
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2026 Details Composites are critical to aerospace, their high strength to weight ratio results in lower emissions, higher payloads and safer travel. The next generation of composites will be woven
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. These solvents cause a number of challenges and problems, including issues with solvent toxicity, high energy usage which increases the carbon cost of batteries, and electrode structural problems. Because
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calcium sulfate and minor variants of these. Understanding how to control product composition and purity is critical to achieving high-quality fertilisers. We will also design the novel materials so that
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Reinforcement Learning from Human and AI Feedback (S3.5-COM-Peng) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr Bei Peng, Dr Zheng Yuan Application
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largest published cohort of adult ataxia patients. External collaborators include NVIDIA, providing access to high-performance computing and advanced AI frameworks (e.g. NeMo, Parakeet), and Professor Anja
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-sequence in a biorefinery as a superstructure optimization problem 2. Develop algorithms to solve the challenging superstructure optimization problem 3. Find the optimal unit operation and materials
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performed well in Domino’s preliminary in-house trials. This copolymer was prepared directly in aqueous media using a technique called polymerisation-induced self-assembly (PISA). Prof. Armes is one
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the EPSRC Doctoral Landscape Award at the University of Sheffield. This project applies breakthrough causal AI to reveal how repairs and maintenance really affect performance—driving smarter, safer decisions