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Fanran Meng, Prof A Ryan Application Deadline: Applications accepted all year round Details Life cycle assessment is increasingly used to assess environmental performance, identify “hot spots” in
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Bio-inspired micro-electromechanical sensors (MEMS) to measure high-order acoustic pressure derivatives for condition assessment of buried water supply pipes School of Electrical and Electronic
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, anywhere, and at lightning-fast speeds. By combining high frequency radio and machine learning technologies, the proposed project constitutes a cutting-edge initiative aimed at revolutionising how we
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-particle interactions in LC3 encapsulants produced from a suite of high and low-grade precursor powders, benchmarked against common PC-based encapsulants. It adopts a new in-situ characterisation approach
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that operate with minimal computing, sensing, and actuating resources—essential features for implementation in real-world scenarios. To this end, we will leverage sophisticated mathematical tools such as
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. Undertake systems and process reviews, identifying opportunities for service improvement and engendering a culture of high performance across teams, with a strong focus on customer service. Provide expert
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on similar technologies. Some of the challenges [6] will be around finding bearing design, materials, and lubricants that will withstand the high loads and start-stop nature of operation. This project is about
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skyscrapers, or improving the energy efficiency of mechanical systems, advanced control methods are at the heart of these challenges. Effective control mitigates vibrations, boosts performance, enhances energy
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technology that not only enhances signal coverage but also revolutionizes the way we control antennas, reducing system complexity, and paving the way for high-speed, efficient mobile communications. Project
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Tailoring the Thermomechanical Properties of High Performance Aerospace & Automotive Composite Materials