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publication, and will also contribute to the co-production of outputs for optimizing carer support and probably development of proposals for future research funding. Person Specification The successful
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and predictive analytics. AI-driven digital tools for material optimization and certification processes. Collaborative work across industrial and academic sectors. The Role The work involves leading
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, and facilitate sensor optimization to achieve a robust and dependable condition monitoring, predictive maintenance, and prognostics and health management (PHM) regime for the aircraft systems over
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://research.nottingham.edu.cn/en/persons/jie-yu About the Project. This research project aims to explore innovative strategies for green supply chain management and carbon footprint optimization in the context of dual carbon
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that conjugating siRNAs to peptides that bind receptor X will enable targeted delivery of disease-modifying agents directly to affected joint cells. This project will: 1. Identify optimal siRNA sequences
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of extreme heat flux on the degradation of novel plasma-facing materials/joints. This role is pivotal in optimizing the design and functionality the plasma-facing regions of a centre-column shield needed