76 high-performance-quantum-computing-"https:" "https:" "https:" "https:" "https:" positions at Cranfield University
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Cranfield University is seeking highly motivated and accomplished EngD students to conduct cutting-edge research in the degradation of materials at high temperature. We offer a fully funded program
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supported by the Enhanced Composite and Structures Centre at Cranfield. About the sponsor We will work in collaboration with Cambridge Nanosystems, which is a world leading high quality, high performance
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Verification Tools: Develop AI algorithms that automate the verification process, ensuring systems meet required safety and performance standards. Health Monitoring Algorithms: Implement AI-based monitoring
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temperatures in modern Gas Turbines. During the operation of gas turbines, such high temperatures are coupled with the impurities or ash compounds like Sulphur, halides, sodium and vanadium. In certain cases
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performance degradations and unwarranted system failures can occur. There is certain physical information known a priori in such aerospace platform operations. The main research hypothesis to be tested in
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partners, (Boeing, BAE Systems, Rolls-Royce, Meggitt, Thales, MOD and Alstom); and from EPSRC. The investment, over the first 5 years of operation, was approaching £10M. We are now in our eighth year of
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The research in this doctoral opportunity will develop a failure model that can represent the combined effect of surface and bending failures in gears to perform reliable health prognostics. Lack
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will publish high-quality research papers and present their work at international conferences to build global networks with leaders in academia and industry. We invite students interested in joining
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due to a lack of resource. With some water-hungry sectors (such as data centres and other high-tech industries) prioritised for significant growth in water stressed regions, these challenges are set to
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integrated with human expertise, leading to enhanced system performance and sustainability. The project aims to create a foundation for systems that can evolve autonomously while benefiting from continuous