Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
-
Field
-
development related to future product and experience innovation; (b) support design research, concept development, prototyping and project implementation; (c) conduct user research including collect
-
the project leader in the research project - “Development and condition monitoring of permanent magnet machines”. Qualifications Applicants should have: (a) a doctoral degree or an equivalent qualification
-
highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences across semiconductor manufacturing tools, with the objectives of reducing cycle times
-
) experience in Unity or Web development, digital avatar development and LLM-based solution. Applicants are invited to contact Dr Zackary P. T. Sin at telephone number 2766 7328 or via email at zackary-p-t.sin
-
project – “Urban smart digital services via LLM-based multi-agent collaboration”. They will be required to: (a) develop multi-agent systems; (b) conduct experimental result analysis, paper and report
-
Department of Computing Research Assistant Professor in AI and Digital Transformation for Education (three posts) (Ref. 260226006) The Institute for Higher Education Research and Development (IHERD
-
(CLRs) for participant recruitment and field activities; (d) design and facilitate co-creation workshops with residents, district councillors and property owners to develop community spatial strategies
-
both front-end and back-end development (such as Java); (d) have R&D experience with Large Language Models (LLMs); and (e) be familiar with AI agents. Applicants are invited to contact Prof
-
timely progress and adherence to milestones; (d) prepare research reports, documentation and presentations for internal and external dissemination; (e) contribute to the formulation of innovative
-
– “Smart Holistic Insurance Enhancement using Learning Algorithms & Decentralization (S. H. I. E. L. D.)”. He/She will be required to: (a) develop machine learning models to predict optimal