235 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at Hong Kong Polytechnic University
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. Applicants are invited to contact Prof. Wai Sze Yip at telephone number 2766 6598 or via email at lenny.ws.yip@polyu.edu.hk for further information. Conditions of Service For full-time appointment, a highly
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xiangen.zhao@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application is 13 January 2026. Apply Now Posting date: 6
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for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application is 30 January 2026. Apply Now Posting date: 16 January 2026
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or via email at pai.zheng@polyu.edu.hk or li-qiao.xia@polyu.edu.hk for further information. Conditions of Service The remuneration rates are HK$385 per hour for the post of Postdoctoral Fellow, HK$178 per
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information. Conditions of Service A highly competitive remuneration package will be offered. Consideration of applications will commence on 12 February 2026 until the positions are filled. Apply Now Posting
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events and campaigns to maximise public awareness of the PolyU’s efforts in entrepreneurship development; (g) coordinate the data analysis, processing and reporting for management review and programme
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for further information. Conditions of Service For full-time appointment(s), a highly competitive remuneration package will be offered. For part-time appointment(s), the remuneration rate is HK$385 per hour
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positive can-do attitude, be creative, highly independent and motivated; (h) be able to work under pressure and meet tight schedules with project management capability; and (i) have good computer
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menglin.chen@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application is 26 January 2026. Apply Now Posting date
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disciplines; (b) have a good knowledge of data analytics, artificial intelligence and programming skills; and (c) be willing to learn translational research methods, data processing and data analysis