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The appointees will assist the project leader in a large language model (LLM) research project – “Enhancing aspect-based sentiment analysis: embracing multilingual and multimodal dimensions with large language
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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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- “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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the research project - “Large vision model for UAV-UGV collaborative map update”. Qualifications Applicants should have an honours degree in Engineering with a strong background in mathematics and programming
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/relevant work experience. (b) have basic knowledge of software, networking and Windows / Linux OS; (c) have knowledge in Python / PHP / C++ / C# / JavaScript / RDBMS / large language models for AI
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deployment and post-training of foundation/large models”. He/She will be required to: (a) model quantum computing platforms; (b) design quantum networks and compilation algorithms; (c) evaluate
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embedded large language models releasing stress among the Hong Kong population” to support research laboratory for advanced social robotics. He/She will be required to: (a) conduct data cleaning
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The appointee will assist the project leader in the research project - “MLFF-agent: autonomous discovery of machine-learning force field with large language model”. He/She will be required to: (a) be the
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the research project - “Large-scale linear stability analysis of complex flow problems and its application”. Qualifications Applicants should have a master’s degree in Engineering. Preference will be given