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The Chinese University of Hong Kong, Shenzhen, High-energy particle and nuclear physics area Position ID: The Chinese University of Hong Kong, Shenzhen -High-energy particle and nuclear physics area -RA [#29335] Position Title: Position Type: Postdoctoral Position Location: Shenzhen, Guangdong...
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The Chinese University of Hong Kong, Shenzhen, School of Data Science Position ID: CUHKSZ -School of Data Science -POSTDOC [#30184] Position Title: Position Location: Shenzhen, Guangdong, China
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The Chinese University of Hong Kong, Shenzhen, Neutrino and Dark Matter Group Position ID: The Chinese University of Hong Kong, Shenzhen -Neutrino and Dark Matter Group -POSTDOC [#29127] Position
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Location: Shenzhen, Guangdong, China [map ] Subject Areas: Computer Science / All areas Operations Research Statistics / Science , Data Science , Engineering , Life Science , Management , Social Science
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, Guangdong, China [map ] Subject Areas: Computer Science / All areas Operations Research / Operations Research , Financial Engineering , Integer Programming Statistics / Data Science , Engineering , Life
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Professor (Ref: 250000QB) (Closing Date: August 1, 2025) The Faculty of Engineering of The Chinese University of Hong Kong (CUHK) is now seeking an outstanding candidate in the area of the AI Computer Systems
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facilities and laboratories for basic scientists, PhD students, and postdoctoral fellows. Candidates should possess: (i) a PhD or equivalent in Biomedical Sciences, Computer Science, Bioinformatics or related
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research program at the intersection of artificial intelligence and scientific advancement. This position demands a deep understanding of both the fundamental AI and its applications in the respective
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The Chinese University of Hong Kong, Shenzhen, School of Data Science Position ID: 2901 -PSTD_SZ [#26701] Position Title: Position Type: Postdoctoral Position Location: Shenzhen, Guangdong Province, China [map ] Subject Area: Random Matrices Appl Deadline: 2025/11/20 11:59PM (posted...
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algorithms for robotic learning, including reinforcement learning, to enable adaptive and intelligent behavior in real-world scenarios. Applicants should have (i) a Ph.D. in Computer Science, Electrical