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analysis and application of machine learning techniques to structured numerical and unstructured textual data; (d) have a good track record of academic writing, including report writing, manuscript
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and/or training in data collection and analysis; (e) have experience or training in intensive longitudinal data analysis and application of machine learning techniques to structured numerical and
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knowledge of machine learning and computer vision; and (d) technical skills in programming and Generative AI development. Preference will be given to those with good publication records and experience in
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learning and/or knowledge exchange, services and administration. Preference will be given to those with demonstrated administrative leadership and management experience in universities or healthcare settings
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- “Smart Holistic Insurance Enhancement using Learning Algorithms & Decentralization (S. H. I. E. L. D.)”. He/She will be required to: (a) develop machine learning models to predict optimal
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backgrounds, interests and learning needs. The applicants should have excellent communication, interpersonal, and organizational skills. Experience in collaborating with local and/or overseas secondary schools
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, responsible and able to work independently and within a team. The appointee will work on various projects related to children’s and adolescents’ mathematics and science learning. Duties include literature
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pressure and multitask. Those who are qualified as Advanced Practice Nurse (APN) will be offered the title of Advanced Practice Nurse. The appointees will report to the Chairman of the Teaching and Learning
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-time/Part-time) (several posts) [Appointment period: each for six months] Duties The appointees will assist the project leader in the project - “Developing an LLM-based multi-agent language learning
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’ self-directed learning and Chinese online reading competencies. He/She will assist the Project Leader in overseeing the research aspects of the project, analyse quantitative and qualitative data and