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Research and develop autonomous decision-making algorithms for process industries (e.g., chemical, pharmaceutical, materials, energy) or discrete manufacturing (e.g., electronics assembly, automotive, home
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but not limited to: o Quantum error correction, fault tolerance, and resource optimization. o Entanglement dynamics, quantum control protocols, and hybrid quantum-classical algorithms. o Modeling and
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: • AI for Quantum: We develop advanced, physically grounded AI algorithms to solve fundamental problems in quantum materials, quantum error correction, and quantum simulations. • Quantum for AI: We
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AI Algorithm and Autonomous Decision-Making Systems RESPONSIBILITIES Research and develop autonomous decision-making algorithms for process industries (e.g., chemical, pharmaceutical, materials, energy
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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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, we aim to explore more effective training algorithms for Large Language Models (LLMs). (2) Applications of AGI in Foundational Science: Leveraging the high-order reasoning capabilities of Large
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AI Algorithm and Autonomous Decision-Making Systems RESPONSIBILITIES Research and develop autonomous decision-making algorithms for process industries (e.g., chemical, pharmaceutical, materials
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developing innovative analytical methods for various omics data, including microbiome, genetics, genomics, and metabolomics data. The position is for a two-year appointment. Applicants must hold a PhD in
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. The research will specifically involve developing innovative analytical methods for various omics data, including microbiome, genetics, genomics, and metabolomics data. The position is for a two-year appointment