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- “Uncertainty-aware power system frequency stability risk assessment and mitigation with large-scale inverter-based resources”. Qualifications Applicants should have a doctoral degree or an equivalent
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the research project - “Social robots with embedded Large Language Models releasing stress among the Hong Kong population”. He/She will be required to: (a) develop personalised emotional support conversation
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project - “Large vision model for spatial intelligence of autonomous systems”. Qualifications Applicants should have: (a) a doctoral degree plus at least six years of postdoctoral research experience
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or related disciplines. They should have a strong quantitative background; experience in analysing epidemiological data using R, STATA, SAS or other statistical packages; demonstrated expertise in the analysis
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- “The influence of maritime industry activities on residents’ maritime culture awareness in the Greater Bay Area: A large language model (LLM) approach with panel data analysis”. Qualifications Applicants should
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maintain aviation data analytics pipelines and dashboards to support market analysis, operational decision-making and industry benchmarking; (c) apply AI and big data technologies (e.g., Python, SQL
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quantitative background; experience in analysing epidemiological data using R, STATA, SAS or other statistical packages; demonstrated expertise in the analysis of large and complex datasets; excellent written
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in several areas of theoretical and computational physics including, but not limited to, statistical physics (including AI related physics) and large-scale simulation of quantum many-body systems
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preparing promotional materials; (g) assist in preparing materials for demonstrations and working prototype; (h) support data collection and user studies; (i) support daily operation of the research
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Modelling (MLM), and latent profile analysis. Experience in managing projects, implementing large-scale surveys, and analysing large datasets are relevant strengths. The appointee should also have a high