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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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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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for tumor suppressors and oncogenes using mouse models, functional studies for the immune cells in tumor microenvironment and cancer biomarker analysis and drug testing in vitro and in vivo. Applicants should
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analysis and drug testing in vitro and in vivo. Applicants should be self-motivated, able to work independently as well as in a team, and able to help supervise Ph.D. students. They should also have
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activities, conducting organizational analysis, and assessing training needs. The role also involves liaising with stakeholders, assisting in the delivery of training and coaching activities (which may include
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discipline, with extensive research experience and a proven track record in EBV and emerging infectious disease projects. They must possess strong bioinformatics skills, including integrated analysis
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) The Museum Studies Programme in the Faculty of Arts is seeking a Research Assistant Professor to work on a project titled “Scientific Analysis of Chinese Painting,” in collaboration with the Hong Kong Museum
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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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“Scientific Analysis of Chinese Painting,” in collaboration with the Hong Kong Museum of Art (HKMoA) and the Laboratory for Conservation and Science at HKU’s University Museum and Art Gallery (LCSD
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. Preference will be given to those with expertise in innovative methods of advanced statistics and/or learning analytics, such as multiple linear regression, mediation analysis, mixed-effect models, process