28 data-"https:"-"https:"-"https:"-"https:"-"Computer-Vision-Center" positions at THE UNIVERSITY OF HONG KONG
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Ref.: 534070 Work type: Full-time Department: School of Computing and Data Science (14700) Categories: Teaching Staff Teaching Assistant in the School of Computing and Data Science (several posts
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programmes. Information about the Faculty can be found at http://www.law.hku.hk/ . For enquiry, please email to dolsen@hku.hk . A highly competitive salary commensurate with qualifications and experience will
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and delivery of teaching in the Faculty’s undergraduate and postgraduate programmes. Information about the Faculty can be found at http://www.law.hku.hk/ . For enquiry, please email to dolsen@hku.hk . A
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integrated approach to reform these academic disciplines and foster multidisciplinary research collaboration within the University and beyond. For more information about the School, please visit http
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http://www.cds.hku.hk . The Positions The positions are open to all research areas in Computer Science, Artificial Intelligence, Data Science or a related field, including but not limited to: AI / IoT
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disciplines and foster multidisciplinary research collaboration within the University and beyond. For more information about the School, please visit http://www.cds.hku.hk . The Positions The positions are open
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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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, focusing on the commercialization of R&D outcomes, with support from government, industry, and academia. The appointee will be responsible for overseeing the progress of the research project, conducting data
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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis
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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