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for next-generation gas turbines. These geometries pose manufacturing challenges, particularly regarding heat transfer, microstructure evolution, and defect prevention. Building on recent doctoral research
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
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powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy
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-quality videos to guide the restoration and enhancement of distorted videos. Our goal is to develop a comprehensive framework for video restoration by tackling blind inverse problems with unsupervised
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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
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rate is £20,780) Fees and Bench fees: will be met by the University for the 3 years of the funded Studentship. Visa and associated costs are not funded. International applicants can visit https
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Funding Source: Warwick Industrial Fellowship (WIF) Sponsor Company: Thomas Swan & Co Ltd Start Date: 1/10/2025 Project Overview The project focuses on the development of sustainable chemistries
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. Initial analysis suggests recurrent selection of divergent types in multiple locations. The aim of this role is to complete this analysis and prepare a manuscript for submission for publication
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sustainable aviation fuel (SAF), and importantly, hydrogen. Plastics are comprised of numerous polymers, thus the products of each vary through chemical recycling processes This project seeks to develop an in