34 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"LGEF" positions at THE UNIVERSITY OF HONG KONG in Hong Kong
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to all research areas in Computer Science, Artificial Intelligence, Data Science or a related field, including but not limited to: AI / IoT / AIoT Security; Computer Vision; Computing & Big Data
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. The appointee is expected to conduct independent and collaborative research of high academic merit, and secure competitive external research funding to maintain an active research programme. He/She will
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oversight of the project, ensuring adherence to international research standards and ethical guidelines. Lead the design and development of computational simulation methodologies for testing orthopaedic
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control, robotics, and AI. The appointee will play a key role in establishing industry partnerships, leading research projects with direct practical applications, and securing industry sponsorship. A highly
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protected areas, marine spatial planning, policy and management, fisheries, and/or ecosystem-based conservation. A proven track record of securing competitive research funding and publishing high-impact
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; manage on-going research projects on ovarian reconstitution; publish original research articles in high-impact journals; and secure external competitive grants. A highly competitive salary commensurate
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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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Bachelor’s degree or above (for Research Assistant I) in psychology, data science, computer science, or a related discipline. The appointee should demonstrate strong quantitative and computational skills, with
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Bachelor’s degree or above in Psychology, Social Sciences, Public Health, Nursing, Medicine, Computer Science, Information Technology, Health Informatics, Education or other related disciplines; with at least
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the possibility of renewal subject to satisfactory performance. Applicants should have a Ph.D. in bioinformatics, genetics, computational biology or other relevant disciplines. Experience in cancer research and/or