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traffic demands increase, there is a growing need for innovative methods to continuously assess track condition and predict deterioration. This PhD project addresses this challenge by developing a novel
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, MES, APC). In-depth research in areas such as Reinforcement Learning, Large Language Models, Digital Twins, Predictive Maintenance. Overseas research experience or experience collaborating with industry
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maintenance (PdM) & remaining useful life (RUL), digital twins / smart manufacturing, and uncertainty calibration & trustworthy AI (e.g., conformal prediction). AI Robotics in Fabs: Apply perception, planning
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