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Field
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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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postdocs, tenure-track positions, tenured positions, and positions for distinguished professorship. Candidates in areas including, but not limited to, Quantum Algorithms, Quantum Machine Learning, Quantum
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at the Chinese Academy of Sciences (ITP-CAS) (https://english.itp.cas.cn ) is calling for application for a few postdoctoral fellow positions in 2026. Research areas include but not limited to: 1) Theoretical
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different research areas. The more details can be kindly found as below: 1. Industrial AI Algorithm and Autonomous Decision-Making Systems RESPONSIBILITIES Research and develop autonomous decision-making
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individuals whose work addresses substantive economic questions—such as causal inference in high-dimensional settings, algorithmic behavioral economics, forecasting economic indicators, or modeling complex
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theory and econometric analysis. We are particularly interested in individuals whose work addresses substantive economic questions—such as causal inference in high-dimensional settings, algorithmic
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, equality, diversity, and fostering collaborative cultures. Ability to navigate institutional complexities, prioritise under pressure, and drive decisions in ambiguous environments. Deep understanding
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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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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