391 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab"-"IFM" positions at Hong Kong Polytechnic University in Hong Kong
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or via email at yiping.jiang@polyu.edu.hk for further information. Conditions of Service The remuneration rate is HK$120 per hour. Consideration of applications will commence on 27 March 2026 until
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of electroacupuncture as paramedicine to alleviate cognitive impairment in depression: a pre-clinical study” and will play a key role in conducting experiment, analysing research data and writing up the research findings
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of participants and data collection in quantitative and qualitative studies; (c) conduct data analysis; (d) conduct literature review; (e) draft research proposals, reports and academic manuscripts; and (f
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/data and conduct research in the fields of modern Chinese cultural history, art history, and popular culture; (b) assist with organising academic talks, workshops and conferences; (c) assist in
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the organisation of meetings, seminars and events in Hong Kong and the Chinese Mainland; (b) provide administrative support, including data collection, record keeping and documentation; (c
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experience. Applicants are invited to contact Dr Ding Yujuan at telephone number 2766 6468 or via email at yujding@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration
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design prototypes and provide technical support; (b) conduct design studies with data collection and analysis; (c) document the design and research process; (d) conduct research writing; and (e
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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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reviews; (b) develop and conduct writing tasks and questionnaires; (c) assist in data coding and basic data analysis; (d) assist in managing the project; (e) assist in preparing progress/final
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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