188 lecturer-in-computer-science positions at Hong Kong Polytechnic University in Hong Kong
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skills in English and Chinese; (c) good computer literacy including MS Word, Excel and PowerPoint. Experience in WordPress administration and multimedia editing (e.g. Adobe Premiere Pro) software will
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Department of Building Environment and Energy Engineering Research Assistant (Ref. 250814009) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research
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Research Centre for Digital Transformation of Tourism Research Assistant (Ref. 250604014) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research project - “The development of a dynamic pricing and forecasting restaurant revenue management...
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Department of Health Technology and Informatics Research Associate / Research Assistant (Ref. 250527008) (1) Research Associate [Appointment period: each for six months] (2) Research Assistant
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Department of Industrial and Systems Engineering Part-time Project Associate (Ref. 250819017) [Appointment period: four months] Duties The appointee will assist the project leader in the research
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Department of Industrial and Systems Engineering Postdoctoral Fellow / Research Associate / Research Assistant (Full-time/Part-time) (Ref. 250623003) (1) Postdoctoral Fellow (Full-time/Part-time) (2
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Department of Industrial and Systems Engineering Part-time Research Assistant (Ref. 250811005) [Appointment period: two months] Duties The appointee will assist the project leader in the research
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Department of Industrial and Systems Engineering Research Assistant (Ref. 250430012) [Appointment period: four months] Duties The appointee will assist the project leader in the research project
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Department of Aeronautical and Aviation Engineering Postdoctoral Fellow (Ref. 250722003) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research
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research using methods such as sensing technique, 3D printing, human-computer interaction, simulation, and/or machine learning to address challenges in machinery motion planning and construction safety