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central Manchester, the aim of this PhD project is to explore the impact of training musical performers from Global Majority backgrounds to teach children aged 6-16 from Global Majority backgrounds, and how
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their reliability in predicting long-term material performance. Ultimately, the goal is to provide a computational tool capable of simulating the behaviour of polymeric materials under real-world conditions, helping
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optimise a ‘Digital Twin’ of the Tees estuary to ensure that the NBS are deployed at locations optimal for performance and longevity while operating within the constraints placed upon deployment by other
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. The successful applicants are expected to work with Dr. Yihan Zhang on “Precise Asymptotics in High-Dimensional Statistics using Random Matrix Theory and Statistical Physics ”. Applicants with mathematics
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. Key Accountabilities • Design and develop embedded AI algorithms for appliance profiling using smart meter data • Benchmark performance against state-of-the-art NILM approaches using datasets like
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In this project, novel laboratory-scale continuous “flow chemistry” reactors will be designed and 3d-printed, and applied to a variety of real reactions from industry, currently performed in batch
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and culture within it. Who we are looking for We are looking for an enthusiastic, self-motivated candidate, with a 1st or high 2:1 degree in computer science or mechanical engineering. The candidate
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. The rapidly growing space satellite industry will need novel high-performance materials for superior space debris impact resistance. Our novel composites materials developed in this project will
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electrolysis include slow responsiveness to varying renewable energy, high cost of balance of plants and power electronics systems and low energy efficiency, and limited lifespan of electrolysers. The main
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Modern vehicles are becoming increasingly sophisticated, integrating numerous controllers and actuators to enhance comfort, handling, and overall performance. However, coordinating these systems