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ambitious research team exploring quantum phenomena in large scale and complex systems, from high-temperature Bose-Einstein condensates to trapped solid-state particles in ultra-high vacuum. We combine
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will be on extracellular vesicles (EVs)—tiny particles released by cells that play an essential role in communication. Studying EVs will help us understand: How brain cells respond to genetic changes
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This PhD project will focus on developing, evaluating, and demonstrating a framework of novel hybrid prognostics solution for selected system use case (e.g. clogging filter, linear actuator, lithium
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. Data Collection: Measure the size, number, and velocity of ice fragments using advanced particle imaging tools 2. Numerical Modelling A numerical model will be developed to simulate the freezing and
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generated by such collisions can indeed remain in space for a long time and pose a secondary risk to the constellation itself. Even small debris particles with diameters of a few millimetres can cause
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their volumetric changes in a typical automotive battery in operation. The model will incorporate anisotropy effects at the active material level by extending particle-level models, and will combine it with
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, involving both phase change, particle collision and mechanical action. From a fundamental scientific standpoint, there is still a great deal to understand about this process, despite its common use in
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funded innovation resilience programmes are also implementing these systems at scale. However, there is very limited consistent research evidence on the efficacy of different engineered filter media and
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aviation applications. This project will deliver novel methods to perform velocity measurements in confined flow domains. These methods will combine advanced machine vision methods with conventional particle