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demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model
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Job Description LIFE SCIENCE IMAGING CENTER Research Assistant (25260649) The research assistant is expected to contribute/support cognitive neuroscience research on interdisciplinary projects
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proposals. Requirements Applicants with a Master’s degree in Computer Vision, Deep Learning, Computer Science, Image Processing, Biomedical Engineering, or related fields will be considered for the position
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computational biology are particularly encouraged to apply; Knowledge of scientific background relevant to the research area; Original research published or under revision in a reputable journal; Good English
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including pre-clinical studies, image-guided delivery, nucleic acid therapeutics, targeting and therapeutic aptamers/peptides, immunotherapy, RNA biology, nose-to-brain delivery, blood brain barrier targeting
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collection, data analysis and drafting manuscript. The appointee is expected to work with researchers at Life Science Imaging Center (LSIC). LSIC is a central research facility (https://lsic.hkbu.edu.hk
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Imaging Center (LSIC). LSIC is a central research facility (https://lsic.hkbu.edu.hk/) built to support and promote cutting-edge neurocognitive studies across disciplines at HKBU. LSIC is equipped with a
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infrastructure and facilities, such as the Life Science Imaging Centre (https://research.hkbu.edu.hk/resources/facilities-and-labs/hkbu-life-science-imaging-centre ). Being part of a rapidly evolving research and
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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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clinical applications, translation and interpretation, bilingual business communication, language education, and language technology with computational innovations. Central to its mission is the strategic