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- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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positions at all academic ranks. We seek applicants with outstanding methodological foundations in one or more of the following areas: Computer Science, Operations Research, Data Science, Machine Learning and
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, Machine Learning and Artificial Intelligence, Statistics, Management Science, and other closely related areas. Junior applicants must demonstrate a clear and high potential of teaching excellence. Senior
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an attractive salary between 400,000-500000 RMB/year (~58,000 - 70,000 USD). The project focuses on analyzing machine learning techniques using random matrix tools, with an emphasis on Empirical Risk Minimization
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salary between 400,000-500000 RMB/year (~58,000 - 70,000 USD). The project focuses on analyzing machine learning techniques using random matrix tools, with an emphasis on Empirical Risk Minimization (ERM
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, Computer Science, Economics, Finance, Financial Engineering, Information Systems, Machine Learning, Mathematical Finance, Operations Research, Optimization, Probability, And Statistics. Areas of interest include but
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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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, Computer Science, Economics, Finance, Financial Engineering, Information Systems, Machine Learning, Mathematical Finance, Operations Research, Optimization, Probability, And Statistics. Areas of interest include but
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] Subject Areas: Statistics and Data Science(including Machine Learning, Actuarial Science, Mathematical Finance, Bioinformatics, Artificial Intelligence etc) Appl Deadline: 2025/12/01 11:59PM (posted 2025
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Biostatistics, Computational biology and neuroscience, Theoretical and computational chemistry, Imaging and Data sciences and Machine learning, Quantum information and quantum computing. The recruitment program
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science, artificial intelligence, computer vision, mobile robotics, machine learning, data science and analytics, or be able to demonstrate an equivalent professional practice and engagement. Previous experience in