Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
multimodal large model-based embodied intelligence system for the elderly (AEIS-Lite)”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants are invited to contact
-
, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics Be familiar with conducting analysis with different types of data, including metagenomics sequencing, genomics
-
[Appointment period: six months] Duties The appointees will assist the project leader in the research project - “Causality-aware trustworthy Large Language Model”. The appointees will be required to: (a
-
- “Unveiling the hidden fees: The impact of information disclosure on the real estate market”. Qualifications Applicants should have: (a) an honours degree or an equivalent qualification; (b) advanced
-
- “Integration of multimodal large language model and artificial intelligence in internet marketing and consumer behaviour research”. He/She will be required to: (a) design and conduct experiments and data
-
, transfer learning, large foundation models or collaborative agents, etc.; (c) have good communication skills in both English and Chinese; and (d) be self-motivated and possess excellent coding skills
-
to conduct high quality research in areas including but not limited to: Internet of things, Cyber-security, High-performance computing, Big data analytics, Art technologies and Financial technologies
-
computing, Big data analytics, Art technologies and Financial technologies. Applicants should also show strong commitment to undergraduate and postgraduate teaching in computer science and/or information
-
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
-
and Prevention Group of HKU (stroke.hku.hk) to assist in neuroimaging data acquisition and analysis, write-up of the results, as well as training of students Apply image analysis skills on clinical and