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, Dental Materials, Dental Technology or a related discipline, with research experience in Non-linear Finite Element Analysis, CAD for dental prostheses, AI algorithm development using python / PyTorch, and
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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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, 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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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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research methods. Proficiency in written and spoken English and Chinese is essential, along with the ability to work independently as well as collaboratively within a team. Experience with advanced or mixed
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research methods. Those with research expertise in Digital Policy and Governance, Food Value Chains and Policy Instruments, Environmental Economics, Resource Circularity, Community-level Institutions and the
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English as well as advanced knowledge of quantitative and qualitative research methods. Those with research expertise in Digital Policy and Governance, Food Value Chains and Policy Instruments
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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 We Offer A highly
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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