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and task management skills; (e) have team spirit and positive learning attitude; and (f) be self-motivated, well-organised, detail-minded and able to multitask. Preference will be given to those
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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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- “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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, 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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-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
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learning. He/she will be responsible for literature review, preparation of assessment materials, liaising with external parties, coordination of research activities, conducting assessments with children and
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twelve months] Duties The appointees will assist the project leader in the research project - “Construction skill transfer learning for smooth worker-robot collaboration in dynamic and uncertain workplaces
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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