165 data-"https:" "https:" "https:" "https:" "AALTO UNIVERSITY" positions at Hong Kong Polytechnic University in Hong Kong
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algorithm market success: code, data, and (pre-trained) models”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants are invited to contact Prof. Xin Li
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) ensure data security, privacy compliance and adherence to institutional and regulatory standards (e.g., GDPR, local data protection regulations); (d) manage technical deployment processes
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degree; (b) have knowledge of qualitative data analysis; (c) have a good command of academic writing in both English and Chinese; and (d) demonstrate competency in project coordination. Applicants
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4067 or via email at x.li@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application is 31 January 2026
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) have a good knowledge of computer vision and programming skills; and (c) be willing to learn research methods, data processing and data analysis. Applicants are invited to contact Prof. Lawrence W. C
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. Applicants are invited to contact Prof. Qing Li at telephone number 2766 7252 or via email at qing-prof.li@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration
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”. They will be required to: (a) construct high-quality data pipelines covering code, mathematics and general-domain data, as well as ensure data clarity, diversity and scalability; (b) develop efficient
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for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application is 31 January 2026. Apply Now Posting date: 31 December 2025
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email at marco.pang@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. Consideration of applications will commence on 7 January 2026
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services for the assessment platform, including database design and API development; (b) manage data workflows, ensure data integrity and optimise database performance for efficient assessment operations