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Duties Provide academic and personalised support to the students under the Student-Athlete Learning Support and Admission Scheme; Plan, coordinate, and organise local and non-local student
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the research project - “Research and development of robust refractive error detection utilising machine learning models and smartphone videos”. He/She will be required to: (a) perform comprehensive eye
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of genomics, transcriptomics, proteomics, and metabolomics data, as well as expertise in molecular docking, virtual drug screening, and the application of deep learning and machine learning algorithms
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Science, Public Policy or a relevant social science discipline with strong quantitative focus. Priority will be given to those with: The ability to teach Machine Learning, Programming (Python-based
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committed to providing high-quality education in Artificial Intelligence (AI) for undergraduate students to keep status quo. These courses represent key initiatives to promote active learning and
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project - “Development of an intelligent process system for ring forging manufacturing based on AI deep machine learning”. Qualifications Applicants should have a doctoral degree plus substantial
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.) Fundamental Biology & Chemistry (molecular biology, biomaterials, tissue engineering); Artificial intelligence & Data Science related to biomedicine (machine learning, computational modeling, digital health etc
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written and spoken English and Chinese; and (e) have good computer skills, including Microsoft office (Word, Excel, Powerpoint, Outlook, etc) and Chinese word processing. Applicants are invited
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of Level 2 in New Senior Secondary subjects / "Attained" in Applied Learning subjects / Grade E in Other Language subjects, and the five subjects must include English Language, Chinese Language and
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project - “Smart manufacturing in ultra-precision machining”. Qualifications Applicants should have a Master’s degree or a good honours degree with three or more years of research/relevant work experience