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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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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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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
for technology-enhanced learning and pedagogical innovation is crucial. Preference will be given to those with expertise in innovative methods of assessment and/or advanced statistical methods, such as multiple
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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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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
innovative methods of assessment and/or advanced statistical methods, such as multiple linear regression, mediation analysis, multilevel modeling, and/or latent variable models. Experience in managing and
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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