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- WENZHOU - KEAN UNIVERSITY
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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- Central China Normal University
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- Imperial College London
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- University of Dundee;
- Xi'an Jiaotong - Liverpool University
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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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Language Models (LLMs) Computer Vision and Multimodal Intelligence Natural Language Processing Machine Learning Theory and Algorithms Reinforcement Learning and Decision Intelligence Generative AI and
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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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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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. Numerical Analysis and Scientific Computing, developing numerical methods and algorithms that are accurate, efficient, and robust with respect to challenges that manifest in the simulation of complex
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capabilities, catastrophic forgetting, scaling laws, and other emergent physical phenomena. Building on this foundation, we aim to explore more effective training algorithms for Large Language Models (LLMs). (2
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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
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to teach graduate and undergraduate courses related to programming languages (Java/C/C++), data structures and algorithms, operating systems, databases, security, visualization, AI/ML, human-computer
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, clinical assay pipelines. Intelligent Pharmaceutical Manufacturing – AI-driven continuous flow, quality by design, PAT sensors. Organoid-based Druggability Evaluation – 3D human-relevant disease models
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required. English fluency is required. Candidates should be able to teach graduate and undergraduate courses related to programming languages (Java/C/C++), data structures and algorithms, operating systems