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machine learning model evaluation for smart building services”. The appointee will be required to: (a) write and programme the advanced AI Large Language Model algorithm and framework; and (b
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- “Research on the effective mining, representation, and application of composite program repair patterns”. The appointees will be required to: (a) participate in several research activities; (b) assist
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well as an excellent command of written and spoken English. Preference will be given to those with experience of teaching and research in computational social science, social data analytics, population studies
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delegates. Qualifications Applicants should have: (a) a bachelor’s degree in Applied Linguistics, STEM, or a related discipline and preferably a master’s degree with a solid background in Computer Science
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driving innovation. The Programme places a strong emphasis on language and discourse, leveraging the esteemed research and expertise from HKU and the School of English to provide professionals with
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computer science, maritime economic or a related field, preferably with a publication record in computer vision or maritime-related research; (b) proficiency in programming, including Python and Matlab, data
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and spoken English, research experience, academic writing skill, programming knowledge, a strong sense of responsibility and self-motivation, and effective collaboration and teamwork skills. A track
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robotics, localization, mapping, and multi-modal sensor fusion; (b) proficiency in programming languages such as Python and C++; (c) demonstrated ability to conduct independent research and contribute
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to enhance language education; (f) a demonstrated commitment to excellence in language teaching, educational research and innovations, quality assurance and programme evaluation; and (g) excellent
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MAFA programme”. He/She will be required to: (a) help conducting the python summer bootcamp and the technology-related tutorials for the four technical subjects designed for MAFA; (b) prepare training