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Field
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. Successful re-development for end-of-life composites could enable reuse in other structural applications. This PhD will investigate the development of hierarchical Bayesian algorithms to capture
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interact with the world around us. However, the power requirements and carbon emissions of AI are equally dramatic: training a single state of the art algorithm has the same carbon footprint as the lifecycle
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implementing control systems for robotic arms, including vision-based control and sensor integration. Carrying out experimental validation, system calibration, and performance optimisation of robotic and
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£60 million. Similarly, implantable electronics like pacemakers and glucose sensors depend on degrading batteries, elevating patient anxiety. To address these issues, there is a growing demand for
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, focusing on the development of a mobile DC microgrid for military tactical applications. The role involves designing and implementing advanced control algorithms to coordinate multiple energy sources
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Computational Circular Design: Development, scalability and computational efficiency of surrogate-assisted many-objective optimisation algorithms for circular design for disassembly (C3.5-AMR
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ultrasound sensors, a technology first pioneered by the University College London Photoacoustic Imaging Group. Their primary areas of investigation will be increasing the performance of Fabry-Perot sensors in
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Dark Matter Search with ADMX and the Quantum Sensors for the Hidden Sector Collaboration. School of Mathematical and Physical Sciences PhD Research Project Competition Funded UK Students Prof E Daw
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accepted all year round Details Would you like to develop novel semiconductor infrared sensors for real-world applications, while working closely with leading academics on this topic? We are looking for a
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learning and experience in two or more of: computer vision, sensors/sensor fusion, robotics fundamentals. • Proficient in programming languages such as Python and C++; experience with frameworks such as