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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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assisted ISAC framework available at the TUM ACES Lab. ▪ Conducting real world experiments to analyze performance deviations between theoretical models, software simulations, and hardware behavior. ▪ Working
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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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department in the ISSA expertise center that develops advanced AI solutions involving AI models, algorithms, implementations, sensors and hardware for small scale edge up to large scale distributed and hybrid
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large datasets and developing experimental techniques, including the use of artificial intelligence. There are also opportunities to be involved in the development and testing of new hardware for the next
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work — and how to design better ones. Why apply for this PhD? Work on the next-generation AI hardware beyond traditional computing architectures. Gain a unique combination of skills in mathematics
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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
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, to work at the intersection of AI, security, and embedded systems, contributing to next-generation trustworthy hardware platforms for cyber-physical energy systems. About the project AI:X is an ambitious
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candidates, as part of the AI:X initiative at Aalborg University , to work at the intersection of AI, security, and embedded systems, contributing to next-generation trustworthy hardware platforms for cyber