Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
will assist the project leader in the research project - “AI-based fashion video generation system”. They will be required to: (a) take part in design and carry out artificial intelligence, machine
-
the research project - “LLM-based hybrid intelligence for UAV-assisted inspection and energy control in utility workshop”. Qualifications For the post of Research Fellow, applicants should have a doctoral degree
-
multifunctional wearable sensing devices and human-computer interaction systems; (d) be able to fabricate multi-material and multi-functional electrochromic and electroluminescent fibers for constructing fiber
-
Information Modelling (BIM), Advanced Building Systems and Technology for Architects, Development Control Law, Contract Administration, Chinese Architecture, and Artificial Intelligence related to Architectural
-
project - “Intelligent indoor environment management”. Qualifications Applicants should: (a) have a master’s degree or a good honours degree with three or more years of research/relevant work experience
-
Chinese; (c) have good teamwork and interpersonal skills; (d) have experience in psycholinguistic methodologies for data collection and analysis; and (e) be proficient in computer programming with
-
English and Chinese; (c) good computer literacy; and (d) good interpersonal and organisational skills. Applicants are invited to contact Ms Beckie Li at telephone number 3400 3686 or via email at
-
Associate (two posts) [Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project - “Point-of-Care artificial intelligence integrated internet
-
Department of Data Science and Artificial Intelligence Research Fellow / Postdoctoral Fellow / Research Associate / Research Assistant / Part-time Research Assistant (Ref. 250424007) (1) Research
-
Department of Data Science and Artificial Intelligence Research Fellow / Postdoctoral Fellow / Research Associate / Research Assistant / Part-time Research Assistant (Ref. 250407001) (1) Research