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Department of Health Technology and Informatics Postdoctoral Fellow (Ref. 250703002) [Appointment period: twelve to twenty-four months] Duties The appointee will assist the project leader in
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compliance advisory services being preferred; (d) have experience in AI legal technology application projects (such as legal information systems, automated regulation systems) being an advantage; and (e
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Department of Management and Marketing Research Assistant (Ref. 250707007) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research project - “The bot that judges you: Applicants’ strategic adaptations to artificial intelligence and human judgments...
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Department of Electrical and Electronic Engineering Postdoctoral Fellow (Ref. 250704002) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research
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Department of Logistics and Maritime Studies Research Associate (Ref. 250714006) [Appointment period: one month] Duties The appointee will assist the project leader in the research project - “Video-based AI inspection and service performance”. Qualifications Applicants should have: (a) a...
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Department of Computing Postdoctoral Fellow / Research Associate / Research Assistant (Ref. 250730005) (1) Postdoctoral Fellow [Appointment period: three to twelve months] (2) Research Associate
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Department of Industrial and Systems Engineering Research Fellow / Research Associate / Project Associate / Research Assistant / Project Assistant (Full-time/Part-time) (Ref. 250730002) [Appointment
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Department of Computing Postdoctoral Fellow / Part-time Postdoctoral Fellow / Research Associate / Research Assistant / Part-time Research Associate / Part-time Research Assistant (Ref. 250725004
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- “Understanding and predicting consumer psychology and behavior with generative AI digital twins”. Qualifications Applicants should: (a) have a doctoral degree in Computer Science or other related disciplines
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, Industrial Engineering, Operations Research, Computer Science or a related discipline with experiences in optimization modeling and coding. Applicants are invited to contact Prof. Li Ang at telephone number