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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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, and project funder. Initiate and contribute to grant writing activities. Write study-specific procedures for analytical methods, protocols, and reports and provide training on processes and equipment
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for analytical methods, protocols, and reports and provide training on processes and equipment. Supervise and co-supervise undergraduate and postgraduate students. Disseminate research findings through
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statistical research, and will work with a large population-based cohort with over 46,000 participants in 20,000 households. They will conduct power/sample size estimation; generate tables and figures
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data or job advertisements, as well as expertise in web crawling, large language models, and text analysis techniques. An excellent understanding of causal inference methods is essential to develop
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change monitoring. Our work combines satellite data, physical models, and AI methods to understand ocean dynamics and environmental changes. Duties and Responsibilities Conduct independent and
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methods of advanced statistics and/or learning analytics, such as multiple linear regression, mediation analysis, mixed-effect models, process mining, epistemic network analysis and cluster analysis
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of causal inference methods is essential to develop rigorous research insights. Proficiency in both written and spoken English is required; proficiency in both written and spoken Chinese is advantageous
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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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proficient in data analysis using statistical or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic