102 image-processing-"Embry-Riddle-Aeronautical-University" research jobs in Hong Kong
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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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the University and Boeing research agreement. They will be required to: (a) develop machine learning-based image processing algorithms for surface condition recognition, defect detection, and digital feature
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through various practical application-oriented projects, generating worldwide benefits to mankind. COMP envisions that it will become the influential icon in smart computing internationally. COMP has been
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and Prevention Group of HKU (stroke.hku.hk) to assist in neuroimaging data acquisition and analysis, write-up of the results, as well as training of students Apply image analysis skills on clinical and
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, Computer Science, or other related disciplines, with experience or keen interest in processing magnetic resonance imaging (MRI), such as arterial spin labeling and diffusion tractography using programming scripts
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assist the project leader in the research project - “Augmenting ultrasound for continuous glucose monitoring through a wearable hydrogel microneedle interface: mechanism study, prototype development and in
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”. Qualifications Applicants should: (a) have a master’s degree in GIS, Urban Planning, Data Science or relevant disciplines, or an equivalent qualification; (b) have experience in processing multi-sourced
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interdisciplinary scholarship spanning theoretical linguistics, psycholinguistics and second language acquisition, language neuroscience and neurocognitive disorders, speech processing, communication disorders 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