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verified using myriad methods. These verification approaches range from extensive testing and simulation through to formal proofs of correctness. When used in a corroborative fashion, the results
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Enhancing AI Medical Applications on AMD Cutting-Edge AI Hardware Director of Studies (DoS): Dr. Vasilios Kelefouras (v.kelefouras@plymouth.ac.uk ) 2nd Supervisor: Dr. Vivek Singh (vivek.singh
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This PhD opportunity at Cranfield University invites candidates to pioneer research in embedding AI into electronic hardware to enhance security and trustworthiness in safety-critical systems
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high-performance (connected) and high-security (isolated) configurations? Resilience Limits: What severity of cyber-attack or hardware fault can a system tolerate before safety is compromised? Dynamic
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into areas such as AI-driven verification, predictive maintenance, and compliance assurance, aiming to enhance system reliability and safety. Situated within the esteemed IVHM Centre and supported by
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and a construction and testing capability up to 5MW Vision This project aims to leverage the electric propulsion hardware developed in the EU-funded €40M NEWBORN – “NExt generation high poWer fuel cells
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when collecting video games? How have museums historically dealt with similar complex, composite objects (hardware, software, source code, documentation, media, and living histories)? What testimonies
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of Nottingham. The Rolls-Royce UTC at the University of Nottingham is a leading research institution specializing in the development of soft and continuum robots for challenging environments (https
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to validate AI systems in real-time, adaptive scenarios. There is a disconnect between static regulation and dynamic operational risks. d) Verification Gaps: Current digital twin technologies lack
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust