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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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- “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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(for clients) and web-based management portal (for professionals) from prototype to pilot deployment; (b) collaborate with the research team to build template editors and data pipelines that configure and
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at the time of application; (b) demonstrated research competence in AI-driven service innovation, large language model applications or data-enabled experience design; (c) solid industry experience
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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
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, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics Be familiar with conducting analysis with different types of data, including metagenomics sequencing, genomics
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- “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
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[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
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mining, epistemic network analysis and cluster analysis. Experience in managing and analyzing large datasets, and the use of generative AI tools for research purposes are relevant strengths. The appointee