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priority in both national security and commercial contexts. Overview To develop and evaluate a non-destructive verification method for multi-layer FR4-based printed circuit boards using advanced imaging
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performance simulation capabilities for gas turbine engines developed at Cranfield University as the starting point. Applications are invited for a PhD studentship in the Centre for Propulsion and Thermal Power
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, and energy efficiency. Advanced Manufacturing: Developing and implementing cutting-edge fabrication techniques (e.g., micro-fabrication, polymer, nanoparticle) to realise the designed metamaterial
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Organisation Cranfield Quality Services Faculty or Department Cranfield Quality Services Based at Cranfield Campus, Cranfield, Bedfordshire Join an exceptional team at Cranfield University! We
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Design and Manufacturing Engineering to Tackle Global Sanitation Challenges - MSc by Research or PhD
to create solutions that are not only functionally excellent but also economically viable for large-scale deployment in diverse global contexts. This project aims to develop comprehensive design and
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clearing and resetting meeting rooms when required. Serve occasional drinks in the bar after hours, on request to the required standard. Prepare occasional late night menu options to the correct standard
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validated surface functionalisation methods that significantly improve metascintillator performance, accelerating the development of advanced radiation detectors for ToF-PET and enhancing early cancer
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efficiency, and resilience. This research directly addresses these challenges by developing high-performance, secure, and adaptive AI-driven architectures. With increasing global investments in AI-powered
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and Applied Science at Cranfield University, funded by two big aerospace primes. Overview: This exciting PhD opportunity is at the intersection of aerospace engineering and cutting-edge technology. It
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This PhD opportunity at Cranfield University invites ambitious candidates to explore the frontier of energy-efficient intelligent systems by embedding AI into low-power, long-life hardware platforms