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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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the Faculty of Health and Social Sciences. The School is the sole provider of an Honours Undergraduate Programme in Optometry, Master of Science in Vision Science and Innovation, Doctor of Optometry and Doctor
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of areas, including AI and machine learning, cloud and mobile computing, computer system and information security, evolutionary computation, computer vision and graphics, and bioinformatics
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/relevant work experience; and (b) be proficient in event-based computer vision and neuromorphic computing models, as well as in PyTorch programming and model development for SNNs. Preference will be given
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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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) hands-on experience with AI/ML technologies, particularly in natural language processing, computer vision, and generative models (e.g., ChatGPT, QWEN, SenseTime); (d) proficiency in programming languages
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Office of Faculty of Computer and Mathematical Sciences Founding Dean of Faculty of Computer and Mathematical Sciences (Ref. 241030001-IE) This new Faculty of Computer and Mathematical Sciences
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Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer Vision and Graphics, Statistical Learning, and Bioinformatics. Please visit
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Department of Health Technology and Informatics Clinical Associate in Radiography (Ref. 251013001) [will be conferred the title of Assistant Professor of Practice] Building on over 40 years
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Vision and Graphics, Statistical Learning, and Bioinformatics. Please visit the website at https://www.polyu.edu.hk/dsai/ for more information about DSAI. Duties The appointee will be required to: (a