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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- UNIVERSITY OF MACAU
- Duke Kunshan University
- Harbin Engineering University
- Beijing Normal-Hong Kong Baptist University (BNBU)
- Hong Kong University of Science and Technology(Guangzhou)
- The Hong Kong University of Science and Technology (Guangzhou)
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Field
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Learning are highly expected Preferred research directons: Numerical Optmizaton and Scientfc Machine Learning. A PhD in Mathematcs or Applied Mathematcs. Two years of full tme postdoctoral experience with
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innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal role in facilitating access to China for UK and other institutional partners
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ability in AI and machine learning DESIRABLE QUALIFICATIONS/EXPERIENCE: A PhD degree completed in an English and highly international academic environment Postdoctoral experience from highly reputable
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maintain an active agenda of creative practice and scholarship. The successful candidate will be able to teach in areas such as interface design, digital imaging, computer graphics, machine reading, data
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(MFA/PhD) at the time of appointment. We seek candidates with expertise in immersive media, machine learning/generative AI, and/or game development. The successful candidate will have a record of
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/EXPERIENCE: Numerical machine leaning/Scientific Machine Learning are highly expected Preferred research directions: Numerical Optimization and Scientific Machine Learning. A PhD in Mathematics or Applied
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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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, 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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contributions in one or more of the following key areas: computational modeling of chemical systems, AI-driven materials discovery/design, robotics for chemical synthesis, machine learning applications in
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positions, tenured positions, and positions for distinguished professorship. Candidates in areas including, but not limited to, Quantum Algorithms, Quantum Machine Learning, Quantum Key Distribution