173 data-"https:"-"https:"-"https:"-"https:"-"L2CM" positions at Hong Kong Polytechnic University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
- “Establishment of the PolyU-DRRC novel material science and technology innovation centre”. He/She will be required to: (a) prepare and process textile data for AI training; and (b) perform any other duties
-
for further information. Conditions of Service The remuneration rate is HK$125 per hour. The closing date for application is 10 April 2026. Apply Now Posting date: 21 November 2025
-
jiehqiu@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. Consideration of applications will commence on 2 January 2026 until
-
in the research project - “The effect of anthropomorphism on information disclosure: A theoretical model”. Qualifications For the Research Fellow post, applicants should have a doctoral degree with at
-
information. Conditions of Service For full-time appointment, a highly competitive remuneration package will be offered. For part-time appointment, the remuneration rate is HK$125 per hour. The closing date
-
email at kn-jessica.wong@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. Consideration of applications will commence on 30 January
-
at the time of application. Applicants are invited to contact Prof. Flora Gu at telephone number 2766 4017 or via email at flora.gu@polyu.edu.hk for further information. Conditions of Service A highly
-
email at chi-sun.poon@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application is 9 December 2025. Apply Now
-
or an equivalent qualification. Applicants are invited to contact Ir Prof. C. S. Poon at telephone number 2766 6024 or via email at chi-sun.poon@polyu.edu.hk for further information. Conditions of Service A highly
-
development and implementation of deep learning models for the automated analysis of multimodal ophthalmic imaging data; (b) assist in integrating generative AI techniques into edge computing platforms