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Ref.: 534495 Work type: Full-time Department: Department of Surgery, School of Clinical Medicine (21700) Categories: Professoriate Staff Applications are invited for appointment as Tenure-Track
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Ref.: 534129 Work type: Full-time Department: Department of Surgery, School of Clinical Medicine (21700) Categories: Professoriate Staff Applications are invited for appointment as Tenure-Track
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to staff position within a Research Infrastructure? No Offer Description Ref.: 534129 Work type: Full-time Department: Department of Surgery, School of Clinical Medicine (21700) Categories
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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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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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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
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to better understand, diagnose and treat diseases with particular interests in cancer and neurodegenerative diseases. We are a highly collaborative and multidisciplinary lab eager to create an impact on
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that will synergize with current strengths within the School of Biological Sciences such as molecular imaging, cancer biology, plant biology, microbiome, and biophysics. Applicants should also have a strong