Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
project - “LiDAR aided GNSS multipath/NLOS modeling and mitigation for robotics positioning in urban canyons”. Qualifications Applicants should have an honours degree in Engineering with a strong background
-
the research project - “Large vision model for UAV-UGV collaborative map update”. Qualifications Applicants should have an honours degree in Engineering with a strong background in mathematics and programming
-
/Assistant Professor who will (1) conduct high-quality research in the state-of-the-art areas in artificial intelligence, natural language processing, large language models, and computer vision; (2) secure
-
, Translation and Foreign Languages, and Transdisciplinary Studies), and over 7,000 full-time undergraduate and postgraduate students. With its unique “Liberal + Professional” education model, HSUHK nurtures
-
compromise: Exploring scalability through integrated design and its application in smart cities”. The appointee will be required to: (a) model quantum computing platforms; (b) design quantum networks
-
embedded large language models releasing stress among the Hong Kong population” to support research laboratory for advanced social robotics. He/She will be required to: (a) conduct data cleaning
-
/Assistant Professor who will (1) conduct high-quality research in the state-of-the-art areas in artificial intelligence, natural language processing, large language models, and computer vision; (2) secure
-
hydrogeology or groundwater and surface water, with expertise in groundwater hydraulics, numerical modeling, hydrogeochemistry, and field hydrogeology. Applicants should also have a strong interest in teaching
-
(machine learning, computational modeling, digital health etc.) Interfacing Engineering with Clinical Medicine (linking biomedical, mechanical, and electrical engineering together with clinical disciplines
-
.) Fundamental Biology & Chemistry (molecular biology, biomaterials, tissue engineering); Artificial intelligence & Data Science related to biomedicine (machine learning, computational modeling, digital health etc