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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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. Expertise and knowledge in AI deep learning model development on histology whole slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and
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, School of Clinical Medicine, is seeking a highly motivated and talented researcher to join our multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on
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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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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis
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-of-the-art techniques to assess the physicochemical properties of nanoparticles, ensuring their stability, drug release kinetics, encapsulation efficiency and electron microscopy imaging. Integrate innovative
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approach to technical challenges. Previous experience with mouse in vivo experiments is necessary. Previous experience with neuronal activity optical imaging, particularly head-fixed imaging, is desirable
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bioinformatics, deep learning and/or biomedical image and clinical data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing
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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis
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teamwork, and excellent communication abilities are critical, and fluency in both English and Chinese is required. The appointees will design and prototype mechanical components of portable automated devices