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refereed publications. Knowledge in Chinese media system and global social media environment and governance will be highly desirable. Experience in computational social science, causal inference, text mining
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Ref.: 533117 Work type: Full-time Department: School of Biomedical Sciences (22600) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Postdoctoral
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scientists of the EPIC unit at IVI in Seoul, South Korea. Applicants should hold a PhD in Epidemiology, Biology, Microbiology, Laboratory Sciences, Public Health, or a related field, with a strong emphasis on
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Director. He/She will work closely with senior leadership and scientists of the EPIC unit at IVI in Seoul, South Korea. Applicants should hold a PhD in Epidemiology, Biology, Microbiology, Laboratory
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19 Sep 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Biological sciences Medical sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher
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environment and governance will be highly desirable. Experience in computational social science, causal inference, text mining, machine learning, analysis of unstructured and multimodal data, or advanced
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6 Sep 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Biological sciences Computer science Medical sciences Mathematics Researcher Profile Recognised Researcher
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
6 Sep 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Educational sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Established
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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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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
Applicants should possess a doctoral or master’s degree in Education, the Learning Sciences or a related discipline, with a strong background in technology-enhanced learning and assessment, learning design and