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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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high-quality research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition
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Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv) Distributed Systems and Networking. These key research areas have a special thematic focus on (a
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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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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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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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Department of Health Technology and Informatics Postdoctoral Fellow / Research Associate (Ref. 260302008) [Appointment period: six to seven months] Duties The appointee will assist the project
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, or Full Professor) in the following areas: Machine Creativity: Computer graphics, computer vision, robotics, etc. Machine-assisted Art Practice: Visual, sound, performing, installation, cinematic arts, etc