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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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digital humanities and/or other emergent research methods in the humanities. The successful candidate will deliver outstanding teaching across the curriculum, supervise research students, and contribute
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. Applicants with expertise in digital methods for historical analysis, as well as knowledge and practical skills in using digital applications for research and pedagogy, will be given preference. General
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the first or second quarter of 2026 for 18 months, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should hold a PhD degree or equivalent in the areas
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subject to satisfactory performance and funding availability. Applicants should hold a PhD degree or equivalent in the areas related to Communication, Journalism, Media Studies or other related fields
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department has a thriving PhD programme and also hosts several Postdoctoral Fellows/Research Assistant Professors. More information on the research interests and publications of philosophers at Lingnan
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-year fixed term basis, with the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a PhD or Master's degree in Nursing, Social Sciences, Social
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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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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 directions include: Reversible material representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture