35 computational-biology-physics-training Fellowship positions at Hong Kong Polytechnic University
Sort by
Refine Your Search
-
doctoral degree in Computer Science and must have no more than five years of post-qualification experience at the time of application; (b) have research experience in path planning; (c) be proficient
-
Department of Land Surveying and Geo-Informatics Postdoctoral Fellow (Ref. 250723007) [Appointment period: eight months] Duties The appointee will assist the project leader in the research project
-
) lead market analysis, requirements gathering, and conceptual design; (b) optimise electromagnetic design of motor through simulations; (c) develop control algorithms and models; (d) guide
-
specialism in China or an equivalent qualification and must have no more than five years of post-qualification experience at the time of application; (b) have social science training in analysing data and
-
project - “Development of human-centric driver support systems and training recommendations for safercross-border driving during Northbound Travel for Hong Kong Vehicles”. Qualifications Applicants should
-
incremental training”. Qualifications Applicants for the Research Fellow post should have a doctoral degree with at least three years of postdoctoral research experience or equivalent qualifications and
-
Department of Computing Postdoctoral Fellow / Part-time Postdoctoral Fellow / Research Associate / Research Assistant / Part-time Research Associate / Part-time Research Assistant (Ref. 250725004
-
- “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
-
Department of Computing Postdoctoral Fellow / Research Associate / Research Assistant (Full-time/Part-time) (Ref. 250808018) (1) Postdoctoral Fellow (Full-time/Part-time) [Appointment period: four
-
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