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the development of artificial-intelligence models. Its subtle infiltrative growth pattern also creates specific challenges for diagnosis, staging and clinical management. This PhD project is part of M4GIC-ILC, a 36
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& Agentic AI (A3) Lab, supervised by Associate Professor Behzad Bozorgtabar and co-supervised by Professor Qi Zhang. Research vision How can intelligent robots understand instructions, anticipate
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PhD Scholarship This project will develop the next generation of intelligent robotic systems capable of autonomously manipulating small, soft and deformable objects in confined environments
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learning (FL), where multiple UAVs collaboratively train artificial intelligence models without sharing raw mission data. This supports privacy and efficiency, but it also creates a serious security risk: a
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project - “Automated marine infrastructure inspection based on intelligent underwater robot technology”. Qualifications Applicants should have: (a) a PhD degree with academic background in Mechanical
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optimization of semantic communication in 6G multi-robot teleoperation scenarios. The candidate will investigate innovative approaches leveraging semantic communications, artificial intelligence, and emerging 6G
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the next generation of personalised AI health coaching systems. Students will join a multidisciplinary PhD cohort spanning health, behavioural science, artificial intelligence, data science, and digital
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quantification, and structural surrogate frameworks based on Artificial Intelligence. You will develop tools that bridge from detailed simulation to rapid predictions, compute structural sensitivities, address
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Artificial intelligence is creating new opportunities to make games more accessible and inclusive for everyone. This PhD project will explore how AI can support players with visual impairments by
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The Faculty of Science and Engineering (FSE) provides teaching and research across a wide range of disciplines, from physics and biology to artificial intelligence, mechanical engineering, and