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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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large-scale, mental health and well-being project for primary schools in Hong Kong, under Department of Psychology, Faculty of Social Sciences. He/She will be responsible for the smooth operation of
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funding availability and satisfactory performance. Applicants should possess a Ph.D. degree with a specialisation in Psychology and Computational Modelling/advanced neuroimaging data processing skills/big
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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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Computational Modelling/advanced neuroimaging data processing skills/big data processing techniques. They should have a strong interest in experimental research and demonstrated scientific expertise and excellent
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of Psychology, Faculty of Social Sciences. He/She will be responsible for the smooth operation of the project with major tasks including: organising training courses and public education events implementing
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assigned Requirements A Ph.D. degree in Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics, Computer Science, or other related disciplines, with experience or keen interest in processing
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Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
procedure The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V., a cover letter stating their research interests and experience, and
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of Professor Khuloud Al-Jamal, a Chair of Drug Delivery and Nanomedicine. The aim of our lab is to use nanotechnology to better understand, diagnose and treat diseases with particular interests in cancer and