33 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at THE UNIVERSITY OF HONG KONG
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Ref.: 534447 Work type: Full-time Department: Teaching and Learning Innovation Centre (47500) Categories: Teaching Staff Lecturer in the Teaching and Learning Innovation Centre (TALIC) (Ref.: 534447
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to staff position within a Research Infrastructure? No Offer Description Ref.: 534447 Work type: Full-time Department: Teaching and Learning Innovation Centre (47500) Categories: Teaching Staff
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. More information about the Faculty can be found at https://web.edu.hku.hk/ . The Positions We now invite applications for appointment as Professor/Associate Professor/Assistant Professor in Learning
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as a research-led comprehensive university through upholding the highest international standards of excellence in its research pursuits, scholarship, teaching and learning, and service to the community
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advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection
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intelligence and machine learning in mental health, big data analytics, and pharmacoepidemiology. Applicants who adopt multidisciplinary approaches to address key challenges in psychiatry and mental health
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’ post-qualification experience, preferably in the field of education. They should also have a good command of written and spoken Chinese, and experience in IT applications and Chinese computer operations
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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