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the formation rates or composition of a biominerals from known environmental conditions. This project aims to construct such a model. The ultimate goal is to create a general framework for predicting
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical systems (eCPS). The focus in this research is on analysing and managing agent behaviour for enhanced...
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structural molecules. Unravelling the ways in which these motifs are encoded into GAGs by their biosynthetic machinery is the fundamental challenge behind the BBSRC-funded GlycoWeb project. This 4-year PhD
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About the Project Main description: Fiber-polymer composites are innovative ad sustainable alternative in construction due to their lightweight, excellent fatigue and durability, which are widely
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machinery is the fundamental challenge behind the BBSRC-funded GlycoWeb project. This 4-year PhD forms part of GlycoWeb’s broader mission. Project The PhD project will focus on the organisation of highly
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that accurately predicts mechanical properties based on the alloy composition, processing parameters and microstructural information of extruded aluminium profiles for automotive applications. The project will be
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The composites industry is under increasing pressure to transition towards a truly circular economy. As growing demand continues to widen the supply gap, we must recover untapped value that would
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) the implications of the different topographical features for surface wetting and water spreading, (2) the chemical composition of the cuticle covering these wettable surfaces, and (3) the developmental and genetic
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will (1) quantify the wettability of upper and lower leaf surfaces, (2) identify differences in cuticular composition, layering and surface texture, (3) disentangle the relative contributions of chemical
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This PhD project will focus on developing, evaluating, and demonstrating an intelligent solution of diagnosis and prognosis for rotating machinery to enhance safety, reliability, maintainability and