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have: (a) an honours degree in Biomechanical Engineering, Apparel and Textile Design Technology, Machine Learning, Data Science or related disciplines or an equivalent qualification; and (b) good
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should: (a) have a good honours degree or an equivalent qualification; (b) have a good command of both written and spoken English and Chinese; (c) be proficient in Python and with the main machine
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Computer Science, Artificial Intelligence, Data Science Engineering or a related discipline; (b) demonstrated expertise in foundation models, generative AI, multimodal learning, machine learning systems, model
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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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and spoken English and Chinese including Putonghua; (c) have good computer literacy, including MS Word, Excel, PowerPoint and Chinese word processing; (d) have good interpersonal, communication
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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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publications at major machine learning, AI or closely related conferences and journals; and (b) good communication and writing skills in English. Applicants are invited to contact Prof. Qiu Anqi via email at
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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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of the local and offshore service-learning projects; (b) assist in coordinating students’ services to children and adolescents with special needs in different service sites; (c) assist in conducting