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-agent systems. Methodology: Integrate ToM models with Reinforcement Learning based frameworks for single-agent and multi-agent decision-making. Develop simulation environments capturing realistic human
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framework integrating physics-informed machine learning, scenario generation, and human-in-the-loop preference-based reinforcement learning to prioritise climate-robust and equity-aligned interventions
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. Applicants should have an interest in manufacturing systems, operations research, and simulation modelling. Candidates with prior experience in areas such as discrete-event simulation, agent-based modelling
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