72 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"ETH-Zürich" Fellowship positions in Hong Kong
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- “Information cues and consumer decision–making in livestream e-commerce”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have no more than five years of post
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of and working experience in BLE system design, AI data analysis and mechanical system design; and (c) good command of written and spoken English for conducting literatures review, data reporting and
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the research project – “Advancing spatial methodologies and applications toward scalable and explainable GeoAI”. He/She will be required to: (a) develop spatial algorithms, big data analytics methodologies
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the challenge in Computational Social Science and FinTech; (b) perform data collection and processing for the identified challenge issues; (c) conduct data analysis and design a framework for the identified
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for visual stimulation and data acquisition, including the use of specialised software and hardware for retinal imaging and functional assessment; (b) analyse and interpret experimental data using advanced
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qualifications and experience. Applicants are invited to contact Dr Sharon Luk via email at sharon.luk@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be
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g.zheng@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. Consideration of applications will commence on 6 February 2026 until
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Department of Data Science and Artificial Intelligence Postdoctoral Fellow (Ref. 260116015) [Appointment period: six months] Duties The appointee will assist the project leader in the research
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-kl.lam@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application is 2 February 2026. Apply Now Posting date
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degree or an equivalent qualification. Applicants are invited to contact Prof. Huang Xiao at telephone number 2766 7299 or via email at xiao.huang@polyu.edu.hk for further information. Conditions of