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breaking towards achieving silent aircraft design? Applications are invited for one funded 3.5-year PhD studentship for the project titled ”Data-driven modelling and control of turbulence-generated noise” in
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challenge that needs to be overcome. By understanding and controlling how small droplets dissolve and feed the growth of larger ones, we can design systems with finely tuned size, stability, and function
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numbers via inexpensive microfluidic techniques. While the mechanism of these drops’ motion is well-known, controlling their trajectory is often challenging. There exist some experimental proofs-of-concept
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solutions for maritime propulsion systems. The primary aim of the project is to design and implement a flexible, high-performance control strategy for an integrated power system consisting of an ammonia
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for Robotics in the School of Engineering. The Institute brings together multidisciplinary researchers to explore all aspects of robotics, automation, autonomous systems, AI and smart machines. The studentship
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adapting their energy use, control strategies, and collective behaviours to enhance sustainability. The research aims to design AI-driven control and energy management frameworks that enable self-organising
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engines, alternative fuels, combustion optimisation, and powertrain control. As the automotive industry transitions towards electrification, integrating novel fuels—such as hydrogen, ammonia, e-fuels, and
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The emergence of 3D concrete printing (3DCP) is reshaping the future of construction, offering unprecedented design freedom, material efficiency, and automation. Unlike conventional concrete casting
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-acceptor units are combined along the same polymer backbone. While these materials offer exciting opportunities for enhanced morphological control and stability, a detailed understanding of the molecular
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enteric coatings that dissolve at specific pH ranges, but these lack precision and control over release timing/location. Ingestible “smart capsules”, such as IntelliCap, have emerged as an attractive