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Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis algorithms for critical equipment (e.g
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) or discrete manufacturing (e.g., electronics assembly, automotive, home appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault self
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appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research
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including applications to biology , condensed matter analogues of axions , Condensed matter theory , Cosmology , General relativity , Phenomenology , Physics Beyond the Standard Model , Physics of cold atoms
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Institute of Theoretical Physics, Chinese Academy of Sciences, High energy theory Position ID: Institute of Theoretical Physics, Chinese Academy of Sciences-High energy theory-POSTDOC [#30140
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, energy) or discrete manufacturing (e.g., electronics assembly, automotive, home appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault