86 computer-science-programming-languages-"CNPEM" Fellowship positions at Hong Kong Polytechnic University in Hong Kong
Sort by
Refine Your Search
-
the project leader or his delegates. Qualifications Applicants should: (a) have a doctoral degree, preferably in Computer Science, Information Technology, Management Science, Marketing, Tourism/Hospitality
-
Department of Land Surveying and Geo-Informatics Postdoctoral Fellow (three posts) (Ref. 250625011) [Appointment period: twelve to thirty-six months] Duties The appointees will assist the project
-
- “Understanding and predicting consumer psychology and behavior with generative AI digital twins”. Qualifications Applicants should: (a) have a doctoral degree in Computer Science or other related disciplines
-
top AI conference and journals; (e) have good communication skills in both English and Chinese; and (f) be self-motivated. Applicants are invited to contact Prof. Liu Yang Veronica at telephone
-
at the time of application. Applicants should also: (a) have a good command of both written and spoken English and Chinese; (b) have good computer literacy including MS Word, Excel and PowerPoint; (c
-
Department of Computing Principal Research Fellow / Principal Project Fellow / Research Fellow / Project Fellow / Postdoctoral Fellow / Research Associate / Project Associate / Research Assistant
-
Department of Land Surveying and Geo-Informatics Postdoctoral Fellow / Research Associate / Research Assistant (Ref. 250603024) (1) Postdoctoral Fellow / Research Associate (two posts) (2
-
Department of Industrial and Systems Engineering Postdoctoral Fellow / Research Associate / Project Associate / Research Assistant / Project Assistant (Full-time/Part-time) (Ref. 250708008) (1
-
Department of Land Surveying and Geo-Informatics Postdoctoral Fellow (Ref. 250502015) [Appointment period: twelve to twenty-four months] Duties The appointee will assist the project leader in
-
and energy materials. Preference will be given to those with knowledge of computer programming, AI or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766