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Field
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compatibility with traditional composite matrices. Explore complementary computational fluid dynamics-discrete element method (CFD-DEM) simulations as a tool to predict fibre-fluid interactions and inform
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application areas: the simulation of electromagnetic fields in high-speed electrical interconnects in the semiconductor industry; the prediction of the electromagnetic performance of communications devices
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focuses on AI-driven fault diagnosis, predictive analytics, and embedded self-healing mechanisms, with applications in aerospace, robotics, smart energy, and industrial automation. Based
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Manufacturing industries face mounting pressure to reduce environmental impact whilst maintaining efficiency and competitiveness. Traditional approaches often lack real-time insights and predictive
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alliances, deceptive moves, and the need to read subtle cues in conversation. Winning isn’t about calculating a single best move—it’s about thinking several moves ahead, predicting how others will respond
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, dependent on method choice, are: Can outdoor temperature be used to predict indoor temperature peak events? Can this be reflected in the public weather warning messaging systems? How do social housing
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materials interact with the body. This project addresses that gap by engineering a 3D-printed full-thickness skin model that mimics the aging microenvironment, enabling more predictive evaluation of novel
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for educational purposes) or other connection to the UK. “Prediction of Mechanical Properties of Extruded Aluminium Profiles Using Machine Learning and Microstructural Insights” BCAST is a specialist research
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Motivation: Soft and flexible materials (e.g. polymers, hydrogels) have revolutionised many areas of science and technology ranging from flexible electronics to soft robotics. Scientists now predict
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prediction model for stage racing that can be used to inform live race decisions based on emerging events. The successful candidate will also spend time embedded in a professional cycling environment and gain