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Intelligence. We seek candidates whose research and teaching expertise aligns with one or more of the following priority areas: Foundation Models and Large Language Models (LLMs) Machine Learning Theory and
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that integrate physical laws, numerical solvers, and machine learning, with strong emphasis on interpretability, reliability, and scientific validity. The position will contribute substantially to both high
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Engineering, Computer Science, Artificial Intelligence, Computer Vision, Mobile Robotics, Machine Learning, Data Science and Analytics, Applied Mathematics. Location: Taicang, Greater Suzhou, China ABOUT XJTLU
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to demonstrate: A PhD in a relevant humanities, social science, computer/data science, computational social science, computational linguistics, or related field, with a research profile engaging with AI, data and
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appointment. ESSENTIAL QUALIFICATIONS/EXPERIENCE The successful candidate will be expected to demonstrate: A PhD in a relevant humanities, social science, computer/data science, computational social science
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Physics and Imaging Technology, AI-driven Drug Discovery/Biomaterials/Life Science Applications Cognitive Intelligence and Agentic AI Research Centre (CIAA) Pattern Recognition/Machine Learning/Deep
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-driven Drug Discovery/Biomaterials/Life Science Applications Cognitive Intelligence and Agentic AI Research Centre (CIAA) Pattern Recognition/Machine Learning/Deep Learning/Reinforcement Learning, LLM/MLLM
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(CIAA) Pattern Recognition/Machine Learning/Deep Learning/Reinforcement Learning, LLM/MLLM, Generative AI, Neural Graphics, Graph Mining, Data Mining, AI agent, Natural Language Processing, Computer
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(normally PhD) degree in electrical and electronics, mechatronics, intelligent controls, robotics engineering, computer science, artificial intelligence, computer vision, mobile robotics, machine learning
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that integrate physical laws, numerical solvers, and machine learning, with strong emphasis on interpretability, reliability, and scientific validity. The position will contribute substantially to both high