69 computational-physics "https:" "https:" "https:" "https:" "Caltech" positions at Cranfield University
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elements like Physical Unclonable Functions (PUFs) and True Random Number Generators (TRNGs) to secure hardware components. Embedded Trust Protocols: Design protocols that establish and maintain trust within
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factors also reducing the membrane lifetime. Cranfield are therefore working on a new generation of inorganic 2D materials to produce a chemically and physically robust reverse osmosis membrane technology
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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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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business analysis and process improvement. If you can also add strong stakeholder management skills, then you could be the person we’re looking for. The successful candidate will help Cranfield drive
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on project management. About You You will have a solid background in IT project management and be able to demonstrate competencies in business analysis and process improvement. If you can also add strong
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mechanical, control or aerospace engineering, physics, mathematics, or other relevant engineering/science degree. The ideal candidate would have experience with computational modelling and control of dynamical
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management. The program will combine desk based and experimental activities that will ultimately establish the most sustainable approach to treatment, recovery and/or disposal of the brines. The successful
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progression up to £29,370 per annum We welcome applications from digital specialists to join our newly established Process Automation and Improvement Team – driving smarter, more efficient ways of working
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. The project focuses on power-aware computing, thermal optimization, and sustainable electronic design, targeting critical applications in aerospace, healthcare, and industrial automation. Hosted by the renowned