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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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and must have no more than five years of post-qualification experience at the time of application, including one to two year(s) of advanced research experience in visual computing, deep learning and/or
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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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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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bioinformatics, neuroscience, or deep learning; (e) have demonstrated promise of a high level of creative ability in research and teaching in some subdivisions of his/her field; (f) be highly proficient in
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pillars such as Big Data Analytics and Management, Machine Learning and Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer
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bioinformatics, deep learning and/or biomedical image and clinical data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing
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have high-quality peer-reviewed conference/journal papers in deep learning, and natural language processing fields. Applicants are invited to contact Prof. Boris Ng at telephone number 2766 4021 or via