435 data-"https:"-"https:"-"https:"-"https:"-"J.-F"-"J.-F" positions at Hong Kong Polytechnic University
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for further information. Conditions of Service For full-time appointment, a highly competitive remuneration package will be offered. For part-time appointment, the remuneration rate is HK$125 per hour. The
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literature reviews to support the research framework; (b) undertake data collection, management, and analysis in alignment with project objectives; (c) coordinate and monitor project activities to ensure
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and opportunities; (d) support a broad spectrum of data collection and analysis, strategise improvement, and develop and implement a comprehensive plan for international rankings; (e) support the
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email at saikit.lam@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application is 17 April 2026. Apply Now
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, finance or computing science/natural language processing/machine learning. Preference will be given to those who are proficient in Python, adept at processing large-scale data and have worked with large
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enhance workflows of Extraction, Transformation and Loading (ETL) to consolidate data and meet reporting and analytics requirements; (f) design, develop, test, and maintain Robotic Process Automation
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number 2766 6596 or via email at jzhren@polyu.edu.hk for further information. Conditions of Service The remuneration rate is HK$125 per hour. The closing date for application is 12 May 2026. Apply Now
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information system and handle data input, data collection, filing and system records; (c) provide logistics and clerical support to committees and meetings; (d) liaise with internal and external stakeholders
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are invited to contact Dr Fang Ruirui at telephone number 2766 4582 or via email at rui-rui.fang@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be
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improvement of the Office’s operational efficiency by identifying opportunities for process automation and streamlining, with a focus on HR systems and workflows; (d) support data extraction and data