Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
network and customer engagement with machine learning”. Qualifications Applicants should have: (a) an honours degree or an equivalent qualification, preferably a master’s degree or above; and (b
-
machine learning model evaluation for smart building services”. The appointee will be required to: (a) write and programme the advanced AI Large Language Model algorithm and framework; and (b
-
-qualification experience at the time of application; (b) advanced knowledge of statistical analysis (Stata, R and Machine Learning); (c) sufficient experience in managing questionnaire surveys and
-
Computer Science or a related discipline or an equivalent qualification; (b) considerable experience and excellent academic record in automated software engineering and/or machine learning; (c) strong
-
. For all posts, applicants should also: (a) be proficient with machine learning toolsets such as CUDA and PyTorch; (b) have experience with game development platforms such as Unity or Unreal Engine; (c
-
qualification; (b) strong background in extensive model optimisation on machine learning algorithm; and (c) good communication skill in English. Applicants are invited to contact Prof. Kay Chen Tan
-
- “Risk-aware machine learning systems for safety and quality-critical applications”. He/She will carry out research in the area of machine learning (ML) and data science, and also be required to: (a
-
such as machine learning, programming, big data analytics, statistics, social network analysis, natural language processing, and population analysis. The appointee will work on the Master of Social Sciences
-
to structural biology, protein engineering, machine learning, molecular cloning, in vivo experiments, and/or CRISPR technology. Candidates must exhibit a strong command of written and spoken English, and
-
machine learning methods, particularly large language models (LLMs), to marketing research. Applicants are invited to contact Prof. Edward Lai at telephone number 2766 7141 or via email at edward-yh.lai