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, attention, impulse control, emotional regulation, adaptive functioning and social interaction. Without appropriate support, these difficulties contribute to poor educational, social and wellbeing outcomes
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modes (e.g., HCCI) for net-zero fuels like hydrogen and ammonia. A key innovative pillar is the development of an AI-driven control strategy. Machine learning algorithms, including reinforcement learning
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explore ways to control their motion in 3D space. Synthetic microswimmers have many potential biomedical applications, including targeted drug delivery and non-invasive medical treatments. The swimmers
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related disciplines. Applicants with track records or experience in system modelling, machine learning and control are highly desirable. How to apply Applications should be submitted via the Chemical and