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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Duke Kunshan University
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-2027. Potential areas of focus include but are not limited to software engineering, compiler, computer architecture, machine learning, artificial intelligence, human-machine interaction, and embedded
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/Assistant Professor in Data Science (Ref: FST260209) Job Description Candidates with expertise in one or more of the following areas: Database Management Systems, Programming Languages, Machine Learning
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of undergraduate and postgraduate programmes, ensuring an excellent studio-based learning experience and alignment with relevant professional and disciplinary expectations. Integrate emerging technologies, including
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+ AI framework, and the continued development of new academies to build an institutional ecosystem. With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its
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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 coding (C/C
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Applied Mathematics 2.Machine Learning, and Artificial Intelligence (including AI for Science/Math) 3.Data Science 4.Computational Mathematics, and Computational Imaging 5.Mathematical Modeling with
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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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are interested in working with. Please see the link for members’ information: https://math.sustech.edu.cn/user/6.html?lang=en . Some professors want to recruit postdoctoral fellows as soon as possible
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of the following areas: Computer Science, Operations Research, Data Science, Machine Learning and Artificial Intelligence, Statistics, Management Science, and other closely related areas. Junior
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limited to: Computational and applied mathematics; artificial intelligence for sciences (especially biomedical science, brain science, and neuroscience); data science and machine learning; modeling