19 computer-programmer-"IMPRS-ML"-"IMPRS-ML" uni jobs at Hong Kong Polytechnic University
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building programme”, “Enhancement of age-friendly business recognition and capacity building programme”, “Enhancement of intergenerational digital literacy training for older adults in Hong Kong”, “Impact of
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MAFA programme”. He/She will be required to: (a) help conducting the python summer bootcamp and the technology-related tutorials for the four technical subjects designed for MAFA; (b) prepare training
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Department of Health Technology and Informatics Project Assistant (Ref. 251016007) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research project
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School of Fashion and Textiles Project Assistant (Ref. 251021003) [Appointment period: four months] Duties The appointee will assist the project leader in the project - “East meets west in fashion 4.0: Developing AI literacy and digital entrepreneurial skills in SFT students through...
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Department of Computing Research Associate (Ref. 250929002) [Appointment period: six months] Duties The appointee will assist the project leader in the research project – “Towards edge-native
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Department of Computing Part-time Research Associate (two posts) (Ref. 251017011) [Appointment period: each for four months] Duties The appointees will assist the project leader in the research
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Department of Computing Research Associate (Ref. 250922018) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research project – “Edge AI without
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internationalise the academic programmes, research and innovation, public/community service of the School, with the aim of strengthening PolyU Optometry’s brand locally and globally; (b) support senior management
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, Operations Research, Computer Science or a related discipline with experience in optimization modeling and coding. Applicants are invited to contact Prof. Li Ang at telephone number 3400 2520 or via email at
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, preferably in a higher education setting; (c) have good knowledge and skills in quantitative and qualitative data analysis using relevant computer software and applications such as SPSS, MaxQDA and NVivo