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, automated neuroanatomical phenotyping, machine learning and advanced statistical approaches. The doctoral project will be developed jointly with the successful candidate and tailored to their
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initiative focused on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data
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houses several university research centres in neurodiversity and development, vision and visual cognition, learning and memory, and behavioural science underpinning our collaborative and
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