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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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design, manufacturing and automation or a related discipline, with experience in data science, coding, image analysis, and statistical analysis. Previous research work experience in ophthalmology/visual
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for pathogen identification, drug target prediction, antimicrobial discovery, and protein-protein interaction studies. Additionally, familiarity with microscopy imaging techniques is required. The ideal
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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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mechanical engineering, ophthalmology and visual sciences, mechanical design, manufacturing and automation or a related discipline, with experience in data science, coding, image analysis, and statistical
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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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their stability, drug release kinetics, encapsulation efficiency and electron microscopy imaging. Integrate innovative approaches to enhance the specificity and efficiency of advanced therapeutics, with a
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state-of-the-art techniques to assess the physicochemical properties of nanoparticles, ensuring their stability, drug release kinetics, encapsulation efficiency and electron microscopy imaging. Integrate
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of studying these artworks, and (c) to synthesize scientific findings to address art historical questions and preservation challenges. Use advanced imaging technologies and scientific methods to uncover
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preservation challenges. Use advanced imaging technologies and scientific methods to uncover regional and historical differences in artistic practices and their broader significance for art history and