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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Harbin Engineering University
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- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
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the following area: The more details can be kindly found as below: Industrial AI Algorithm and Autonomous Decision-Making Systems RESPONSIBILITIES Research and develop autonomous decision-making algorithms
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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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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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, 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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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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questions—such as causal inference in high-dimensional settings, algorithmic behavioral economics, forecasting economic indicators, or modeling complex market equilibria—using tools from machine learning
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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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RESPONSIBILITIES 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