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the sensor prototype on existing test rigs at Cranfield University and benchmark with high-end commercial solutions This project has a high impact on the industry as it can lower the hardware installation and
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-harvesting technologies to promote sustainability. Cranfield University offers a distinctive research environment renowned for its world-class programmes, cutting-edge facilities, and strong industry
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processing and storage, and supporting compliance with stringent certification requirements. Cranfield University offers a distinctive research environment renowned for its world-class programmes, cutting-edge
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. It is expected the research will generate new methods and knowledge for performance simulation, optimization and analysis of sCO2 power generation systems. The new knowledge will be very useful
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University offers a distinctive research environment renowned for its world-class programmes, cutting-edge facilities, and strong industry partnerships, attracting top-tier students and experts globally. As an
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
amounts of maintenance and operational data, from sensor streams to technical logs, yet much of it remains unstructured, fragmented, and underused. Hidden within these records are insights that could help
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that facilitate seamless integration between AI hardware components and embedded systems, ensuring efficient data flow and processing. Cranfield University offers a distinctive research environment renowned for its
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This PhD project aims to address one of the key challenges in the manufacturing industry, the increase in productivity by utilizing the equipment with its optimum performance and without any
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where it co-locates with the UK Race2Space programme. Each R2T2 studentship is associated with an industrial partner active in the launch industry, and provides full funding and stipend, an extensive
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systems safer, more efficient, and more sustainable. The aim of this project is to design a smart cognitive navigation framework that information from various sensors and learn to make decisions on its own