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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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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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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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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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social sciences research methods Applicants should contact and secure mentors, one from each of FOSS (HKU) and ISR (Michigan) to get their interest and support in mentoring before making application What
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should: Possess a Ph.D. in Economics, Public Policy, or a closely related discipline, with solid training in economics and quantitative research methods. Demonstrate strong research capability and a track
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, machine learning, analysis of unstructured and multimodal data, or advanced quantitative methods and use of AI in communication studies will have an advantage. The appointee will assist in a General
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quantitative methods and use of AI in communication studies will have an advantage. The appointee will assist in a General Research Fund (GRF) research project, with duties such as (1) generating research output
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quantitative research methods. Demonstrate strong research capability and a track record of publications in relevant fields. Have proficiency in data processing and statistical analysis, with experience in
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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