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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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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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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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satisfactory performance and funding availability. Applicants should possess a PhD degree in epidemiology, biostatistics, applied mathematics, data science or other related disciplines. They should have strong
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), to commence as soon as possible, on a one- to three-year temporary contract, with the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a PhD degree
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as soon as possible for one or two years on temporary term basis, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD degree in
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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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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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background or formal training in forensic speech science. The successful candidate should also possess native or near-native fluency in English. Information about the School can be obtained at http