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Experiential Learning team. The appointee will play a key role in designing and delivering innovative, engaging, and high-impact experiential learning opportunities for undergraduate students, with a particular
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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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pursuits, scholarship, teaching and learning, and service to the community. The University is consistently ranked amongst the world’s top universities: 11th in QS World University Rankings 2026, 1st in
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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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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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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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years of postdoctoral research experience is preferred. Strong background in big data analytics, machine learning, and multi-omics. Strong track record of high-quality research, demonstrated by
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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