433 data-"https:"-"https:"-"https:"-"https:"-"ASNR" positions at Hong Kong Polytechnic University in Hong Kong
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. Shenyang Jiang at telephone number 3400 3623 or via email at shenyang.jiang@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing
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the entrepreneurship ecosystem and the MTE programme to the Chinese Mainland stakeholders; (f) maintain an accurate database of start-ups, funding recipients, and MTE students, and coordinate data analysis
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information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application is 12 March 2026. Apply Now Posting date: 5 March 2026
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to contact Ms Serine Au Kit-yee at telephone number 2766 6168 or via email at kyeeau@polyu.edu.hk for further information. Conditions of Service For full-time appointment, a highly competitive remuneration
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to contact Mr Ethan Hung at telephone number 2766 6290 or via email at siu-keung.hung@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered
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@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for applications is 5 May 2026. Apply Now Posting date: 14 January 2026
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degree in Engineering or an equivalent qualification. Applicants are invited to contact Dr Oscar K. C. Chan via email at oscar-kc.chan@polyu.edu.hk for further information. Conditions of Service A highly
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are invited to contact Ms Kwok Shuk Yan at telephone number 3400 8901 or via email at ksyan.kwok@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be
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provision of accurate and reliable statistical services related to student data; (b) prepare and manage regular and ad-hoc reports on student data to meet internal and external needs, such as contributing
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- “Cascaded selective prediction for reliable LLM agents”. He/She will carry out research in the area of machine learning and data science, and also be required to: (a) develop an effective cascading