67 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"Univ" positions at Cranfield University in United Kingdom
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to £38,887 per annum An exciting opportunity has arisen to join Cranfield University as a Research Fellow in High-Speed Propulsion Aerodynamics and help shape next-generation supersonic air vehicles. About the
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of consistently high standards of customer service to programme delegates, our client and partners, alongside effective support for internal stakeholders (primarily Faculty members and Associates delivering
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the EU Research Framework Programme? Not funded by a EU programme Reference Number 5263 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Engineering
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of consistently high standards of customer service to programme delegates, our client and partners, alongside effective support for internal stakeholders (primarily Faculty members and Associates delivering
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
to cutting-edge facilities including High-velocity impact testing, Advanced composite manufacturing labs, X-ray computed tomography and High-performance computing resources for AI model training This project
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programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of social and networking
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AI-electronic systems, ensuring secure communication and operation. Side-Channel Attack Mitigation: Implement techniques to protect systems against side-channel attacks, safeguarding sensitive
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intelligent systems aim to optimize power usage without compromising performance, employing strategies like power-aware computing and thermal-aware optimization. These systems are crucial in extending
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operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical
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on multimodal human trust estimation, trust-adaptive decision-making, or cognitive human–machine interfaces that enhance safety and performance in complex environments. This project offers a unique opportunity to