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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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the research project - “Advancing generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. Qualifications Applicants should have a doctoral degree or an equivalent
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Ph.D. degree in Epidemiology, Biomedical Sciences, Computer Science, Data Science, or related disciplines. A proven track record in peer-reviewed publications and research experience in computer graphics
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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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project - “Advancing generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. Qualifications Applicants should have an honours degree or an equivalent
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Interaction, Interactive Computing, Product/Industrial Design or a related discipline and must have no more than five years of post-qualification experience at the time of application. Applicants
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Computer Science, Artificial Intelligence, Educational Psychology/Technology, Neuroscience, Human-Computer Interaction or a related discipline with at least two years of postdoctoral research experience; (b
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projects on-time with minimum supervision. Preference will be given to those with research experience in machines design and development of computer programmes for numerical computation of electromagnetic
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and energy materials. Preference will be given to those with knowledge of computer programming, AI and/or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766
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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