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Department of Management and Marketing Research Assistant (Ref. 250918004) [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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subjects, and the five subjects must include English Language, Chinese Language and Mathematics; (b) be proficient in English and either Putonghua or Cantonese; (c) have good computer literacy; and (d
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be given to those with related work experience in the fields of computer science and programming. Applicants are invited to contact Dr Ken Wan Kin at telephone number 2766 4471 or via email at kin.wan
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doctoral degree in Electronic Engineering, Computer Science, Artificial Intelligence or a related discipline plus at least three years of postdoctoral research experience or an equivalent qualification and
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preliminary research on the application of brain-computer interface technology in enhancing tourism experiences for families with ASD children”. Qualifications Applicants should have: (a) a doctoral degree
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primary computational lead of the project, focusing on Density Functional Theory (DFT) simulations to investigate the interactions between carbon quantum dots and polysulfides; (b) apply and develop
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required to: (a) undertake specific research project(s) under the guidance of a project leader and contribute to the development of research activities; (b) develop computer programs to assess and
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Department of Electrical and Electronic Engineering Part-time Research Associate (Ref. 250919009) [Appointment period: four months] Duties The appointee will assist the project leader in the research project - “Next generation dynamic mesh optical networking research for data...
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events, workshops and showcases, including venue arrangement, programme design and participant experience; (d) develop visual identity and consistent branding materials for the project across all
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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