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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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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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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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sensors. Printing of the high-value flexible electronic films with insulating, dielectric, semiconducting and conducting materials used in these devices makes a major and rapidly growing contribution to UK
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novel wireless sensor systems and intelligent predictive models to solve one of the biggest challenges in high-speed CNC milling: excessive heat generation. Excessive heat leads to rapid tool wear, poor
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highly sensitive electron spins, acting together as a tiny sensor. Molecules are the ultimate "designer" quantum systems, offering atomic-level tunability, solution processability, and the potential
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have designed and introduced new control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the
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undertaken by the EPSRC Doctoral Landscape Award at the University of Sheffield. Structural Health Monitoring (SHM) is the process of using real-time sensor data from high-value engineering assets to inform
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quality, avoiding the paralysis that troubles artificial algorithms when options seem equally good. This project asks: what objective functions do such biological systems optimise, and how can we use
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, autonomous learning agents are likely to take an active role in human society, engaging in daily interaction and collaboration with humans. Developing learning algorithms that enable these agents to produce