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Health or other related disciplines with at least 2 years of post-bachelor’s work experience. Previous work experience in big data analysis, managing large databases of research projects relating to family
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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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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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ensuring rigorous data integrity. Applicants should possess a PhD or equivalent doctorate in audiology, hearing science, or a related field, combined with proven experience in managing research projects
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competency in qualitative and quantitative data analysis and have a good command of written and spoken English and Chinese (including Cantonese). Postdoctoral research experience, especially a strong
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observational data, and have a good command of written and spoken English and Chinese. They should have a strong track record of managing and analyzing large-scale healthcare databases and/or electronic health
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Senior Research Assistant/Research Assistant I/ II (Holding the Functional Title of Project Officer)
., interview techniques, data analysis using SPSS) and experience in project management or event organization (e.g. workshops and conferences) will be given priority. The appointees will conduct activities
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will include coordinating and leading fieldwork in marine and coastal ecosystems, and carry out sample collection, processing and laboratory analyses. They will lead data analysis and contribute
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working closely with multidisciplinary scholars and a research team focusing on healthy ageing and non-pharmacological intervention, and will be responsible for data management and analysis, preparation
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, preferably familiarity with social media. Prior experience in conducting large-scale data collection and survey studies is highly desirable. Preference will be given to those who are familiar with managing