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Summary Positioned within Ulster University’s School of Computing, this research theme explores the integration of artificial intelligence with quantum technologies to advance next-generation
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Positioned within Ulster University’s School of Computing, this research theme advances cutting edge artificial intelligence and Internet of Things (IoT) solutions for healthcare and wellbeing
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better ways to design neuromorphic or brain-inspired computing systems. These mechanisms must be energy-efficient, reconfigurable, and secure, especially for edge devices. This PhD project focuses
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applications, translating astrocytic principles into bio-inspired AI architectures. The candidate will have the opportunity to: Train in cutting-edge computational neuroscience and NeuroAI. Collaborate with
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natural fibres and bio-resins, combining renewable materials with advanced processing and computer-aided design/simulation. The research aims to create high-performance, sustainable composites with tailored
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for stress-testing. Training spans multi-agent reinforcement learning, evolutionary computation, adversarial machine learning, game-theoretic modeling, and financial crime compliance. You will design agent
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Privacy in Computing and Communications (TrustCom). IEEE, p. 1887-1892, May 2024。 C. Yin et al., "Active Reconfigurable Intelligent Surface Enhanced Internet of Medical Things," in IEEE J. Biomed. Health
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growth. Research will focus on developing white-box AI architectures, explainable analytics, and governance-aware models that enhance accountability in high-stakes environments such as sustainable
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suffer with loss of line-of-sight (LoS). The newly discussed Frequency Range 3 (FR3) for future 6G communications, ranging from 7.125 GHz to 24.25 GHz, may require a network architecture that maintains
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criteria which requires that they have lived in the EEA, Switzerland, the UK or Gibraltar for at least the three years preceding the start date of the research degree programme. Applicants who already hold a