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and society. Our Center for Vision, Automation & Control (VAC) is a team of approximately 140 experts carrying out applied research in image processing, sensor-data fusion, machine learning, data
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of Cantonese; (d) be literate in computer and multimedia applications; (e) be well-organised and attentive to details; and (f) have a high level of self-motivation and strong communication
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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, instruct, and monitor all students during their dental radiology procedures, including the proper use of equipment and computer imaging programs and hardware, radiation hygiene and barrier techniques, and
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in the preparation of computer images for virtualization streaming to lab PCs. Support lab supervisors in conducting quiz sessions or assessments. Ensure quick response to equipment failure by
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/or pulling objects weighing up to or over 50 pounds; standing or walking with objects weighing up to 25 pounds; working in confined spaces; occasionally sitting at a computer workstation for extended
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) imaging of the retina • Process AOSLO and OCT images; perform image registration and montaging using custom software and Adobe Photoshop • Create and maintain accurate records using spreadsheets and
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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82304 for the Epilepsy Navigation (EpiNav™) Software Platform. EpiNav™ provides state-of-the-art computer-assisted support for the planning of stereotactic neurosurgery procedures. It has been in daily
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is obtained. Prepares and positions patient for procedure by using established Ultrasound protocols to achieve the highest quality image. Reviews, verifies and evaluates images to ensure excellent