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-performance computing and in programming. They will also receive a firm grounding in rheology, statistical mechanics and the use of Machine Learning techniques. Impacts: • Improved predictions of the properties
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testing, enhancing both computational and experimental skills. Additionally, the possibility of contributing to cutting-edge research in a high-impact field means that the student will be part of a
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colleagues in Psychology and Computer Science. The post will suit an individual looking to gain valuable experience in conducting high quality research. The successful candidate will join the Immersive
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This forward-looking PhD project merges performance science with advanced data analytics and machine learning to further enhance performance prediction in elite rugby union. The successful candidate
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project is to harness the latest developments in high-performance computing and deep learning (DL) technologies to address some of the key technical challenges, and finally demonstrate a DL-enabled system
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marine situational awareness but their capabilities and their performance limits are yet to be explored. Such capabilities include: Smaller form factors: Thus enabling the deployment of Unmanned Aerial
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into 3 dimensional environments. Potential applications include in-orbit satellite applications, where maximising thermal performance of waste heat transport from discrete, high heat flux heat sources is
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concept to testing using advanced computational mechanics, machine learning, and data analytics. With over 20 PGR students and Research Staff, the Lab delivers high-quality research outputs and works
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to study corrosion, cracking and mechanical degradation, develop advanced computational models using modern C++ and high-performance computing to simulate material behaviour over a 100+ year timespan. This
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enable more targeted mitigation measures. Your investigation of this research question will be principally numerical, employing computational fluid dynamics to produce high resolution simulations which