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Job Description Centre/Department: College of Industry-Entrepreneurs (CIE) and HeXie Management Research Centre (HeXie Academy) Position: Associate Dean for Learning and Teaching Position Close Date
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, blending Eastern and Western educational practices to create a globally recognized learning environment. In the XJTLU 2.0 phase, the University expanded its scope by enhancing research capabilities
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Assistant Professor/Associate Professor/Senior Associate Professor/ Professor in Applied Mathematics
optimization, operational research, machine learning, probability, and related applications. The Department delivers courses for three four-year undergraduate mathematics programmes and also provides service
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scientific computing, control theory and optimization, operational research, machine learning, probability, and related applications. The Department delivers courses for three four-year undergraduate
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Position Description The Center for Machine Learning Research (CMLR) is a newly founded interdisciplinary research center at Peking University. Its goal is to advance machine learning-related
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to Advanced Manufacturing, Solid Mechanics and Materials Design, Robotics, Control, Artificial Intelligence & Machine Learning for Mechanical Engineering Applications; Computer Science and Technology, including
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Manufacturing, Solid Mechanics and Materials Design, Robotics, Control, Artificial Intelligence & Machine Learning for Mechanical Engineering Applications; The interdisciplinary field of engineering, including
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sciences research questions, such as machine learning, natural language processing, multimodal data analysis, social network analysis, computational text analysis, or large-scale data analysis. Proficiency
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, CUDA), numerical linear algebra, sparse matrix computation, and low-latency system design. · Machine Learning and AI Theory/Algorithm Design: optimization theory and algorithm design for deep learning
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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