910 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" positions in Hong Kong
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qualification. Applicants are invited to contact Prof. Amy Y. Ou at telephone number 2766 4057 or via email at amy-yi.ou@polyu.edu.hk for further information. Conditions of Service A highly competitive
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qualification. Applicants are invited to contact Prof. Xu Bingang at telephone number 2766 4544 or via email at tcxubg@polyu.edu.hk for further information. Conditions of Service For full-time appointment, a
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at telephone number 2766 7279 or via email at grace.ngai@polyu.edu.hk for further information. Conditions of Service The remuneration rate is HK$630 per hour. The closing date for application is 23 March 2026
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qualification. Applicants are invited to contact Dr Y. M. Tang at telephone number 3400 3940 or via email at yukming.tang@polyu.edu.hk for further information. Conditions of Service A highly competitive
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Ref.: 533703 Work type: Full-time Department: Department of Data and Systems Engineering (14400) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff We are seeking highly
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, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https
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study projects”. He/She will be required to: (a) conduct interviews with local and overseas participants; (b) conduct data collection and analysis; (c) assist in proposal writing; (d
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for further information. Conditions of Service A highly competitive remuneration package will be offered. Consideration of applications will commence on 23 March 2026 until the positions are filled. Apply Now
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for further information. Conditions of Service A highly competitive remuneration package will be offered. Consideration of applications will commence on 23 March 2026 until the position is filled. Apply Now
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) construct high-quality data pipelines covering code, mathematics and general-domain data, as well as ensure data clarity, diversity and scalability; (b) develop efficient training frameworks to support pre