941 affective-computing-"https:" "https:" "https:" "UCL" "UCL" positions in Hong Kong
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candidates can apply via the link: https://www.cityu.edu.hk/hro/en/job/current/research.asp?ref=ur-t16825 , and submit their cover letters, CVs, sample research papers, and research statements. The application
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-sector collaboration. By fostering multidisciplinary knowledge, we aim to strengthen governance systems, enrich multilateral understanding, and drive transformative policy impact. Duties and
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, and operations in hazardous environments. In particular, the rapid growth of soft and intelligent robotics research is opening exciting new opportunities for innovation, impact, and real-world solutions
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) - as well as a thriving undergraduate programme. More information about the Department can be found at https://ppa.hku.hk/ . Applicants should hold a Ph.D. degree and demonstrate excellence in research
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academic atmosphere. We are particularly proud of our pioneering Master’s programme in Digital English Studies (https://www.ln.edu.hk/eng/mades ), which directly addresses the profound shifts brought about
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tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better
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to lead and develop an independent research programme. Candidates for Assistant Professor should have demonstrated potential for high-impact publication and competitive grant capture. Increasingly
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Professor / Associate Professor / Assistant Professor / Research Assistant in Quantitative Marketing
Researcher (R3) Application Deadline 9 Apr 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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scientifically sound. Ensure all AI models are developed with considerations for fairness, ethics, and transparency. Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics
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, Data Science, Statistics, Computer Science, Informatics or related disciplines. Preferably minimum 5 years’ experience in epidemiology, data management, programming and statistics at supervisory level