Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
should: (a) have an honours degree, preferably in Nursing, Social Work, Public Health, Rehabilitation, Psychology, Health Informatics or other related disciplines or an equivalent qualification; (b
-
the Faculty of Engineering, and it offers a full spectrum of BME programmes, from BSc, MSc to PhD. The team is the first group to offer Biomedical Engineering related undergraduate programme in Hong Kong, and
-
programme in an emerging area of structural engineering, which will attract strong external funding support and lead to impactful outcomes for dissemination in leading international journals and awards
-
for the Senior Research Fellow post should have a PhD degree in Computer Science, Artificial Intelligence, Data Science, Digital Economy or a related field plus at least six years of postdoctoral research
-
Department of Biomedical Engineering Administrative Assistant (Ref. 251231010-IE) Duties The appointee will be required to: (a) handle accounting and purchasing matters of the Unit; (b) assist
-
kitchen assistant and robotic cooking system”. Qualifications Applicants should have: (a) an honours degree or an equivalent qualification in Computer Science or related disciplines; and (b
-
Department of Applied Social Sciences Teaching Fellow / Instructor in Social Work (Ref. 260331014) [Teaching Fellow will be conferred the title of Lecturer] As one of the largest social sciences
-
spoken English and Chinese. Fluency in Putonghua is preferred; (g) hands-on experience in HR related systems, and excellent computer skills, including advanced MS Excel, Word, and PowerPoint, etc.; and (h
-
skills; (e) be proactive and professional, with the ability to work independently as well as collaboratively in a team; and (f) be proficient in computer applications. Shortlisted candidates will be
-
Department of Computing Research Assistant (Ref. 260114018) [Appointment period: six to twelve months] Duties The appointee will assist the project leader in the research project - “KCube learning