Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
the research project - “Agentic assistants for e-commerce clothing operation under brand ecosystem”. Qualifications For the post of Research Fellow / Project Fellow, applicants should have a doctoral degree plus
-
, NVivo and other Microsoft Office software, or web design/development including Chinese word processing; (e) have an excellent command of both written and spoken English; (f) have a strong
-
design prototypes and provide technical support; (b) conduct design studies with data collection and analysis; (c) document the design and research process; (d) conduct research writing; and (e
-
experience or equivalent qualifications and experience. Preference will be given to those with research experience in material processing and 3D printing. Applicants are invited to contact Prof. Tang Chak-yin
-
appointee. Appointment will normally be made on a fixed-term contract of up to three years. Application Procedure (online application only) Please click "Apply Now" to submit your application. Applicants
-
passage and baggage allowance for the eligible appointees. The appointees will also be provided with research funding of HK$10,000 per year to support their research activities. Application Procedure
-
/ Research Assistant [Appointment period: each for twenty-four months] Duties The appointees will assist the project leader in the research project - “Research on advanced extrusion process for stiffened wide
-
the research project - “Advancing generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. Qualifications Applicants should have a doctoral degree or an equivalent
-
and only one writing sample (no more than one writing sample will be read) Application Procedure (online application only) Please click "Apply Now" to submit your application. Personal data collected
-
on application logic rather than underlying algorithm development), and the capability of independently driving the full "Data-AI-Deployment" process; (c) the ability to evaluate the fit between AI applications