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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
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on application logic rather than underlying algorithm development), and the capability of independently driving the full "Data-AI-Deployment" process; (c) the ability to evaluate the fit between AI applications
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an advantage. The appointee will work with Prof. Wai Sze Chan on projects related to developing predictive models for health outcomes and digital behavioural interventions. Responsibilities include managing and
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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
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. We seek a highly motivated Postdoctoral Researcher with expertise in mass spectrometry to support and advance research in cosmochemistry, early Earth evolution, geochronology, and low
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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
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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
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the project with major tasks including: organising training courses and public education events implementing research and programme evaluation collecting and analyzing data writing technical reports on research
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project - “Development of human-centric driver support systems and training recommendations for safer cross-border driving during Northbound Travel for Hong Kong Vehicles”. Qualifications Applicants should
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pluripotent stem cells differentiation, especially those specializing in germ cell development. The appointee is expected to demonstrate both independent research capabilities and effective team collaboration