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Assistant should possess a Master’s degree or above in Gerontology, Psychology, Social Sciences, Health Sciences, Statistics, or a related discipline with at least 3-year post-qualification experience
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, Computer Science, Electronic Engineering, Artificial Intelligence, Biomedical Engineering (Health Informatics and/or Bioinformatics), Medical Statistics, Public Health and Epidemiology, and other majors
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Biological Sciences, preferably in ophthalmology or computer sciences or statistics or public sciences; (ii) proficiency in English; (iii) solid experience in ophthalmology and visual sciences research, deep
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in project management, ethics applications, and supervision of junior researchers. Requirements: A PhD degree in Social Sciences. Strong analytical skills and proficiency in statistical software and
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) programmes. Applicants should have (i) a PhD degree from the University of good QS World University Rankings, special in Biological Sciences, preferably in ophthalmology or computer sciences or statistics
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Senior Research Assistant (SRA) in the Sau Po Centre on Ageing within the Faculty of Social Sciences
, Statistics, or a related discipline with at least 3-year post-qualification experience. Previous work experience in big data analysis, managing large databases of research projects relating to family
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functioning, language processing, and reading acquisition. Candidates will conduct EEG research on implicit statistical learning and language processing, perform EEG data analyses, and neural computation and
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the possibility of renewal, subject to satisfactory performance and funding availability. Applicants should possess a Ph.D. degree in Social Work, Psychology, Statistics, Public Health, or a related discipline
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. On-the-job training will be provided. Your primary work location will be in Hong Kong Children’s Hospital, Kowloon Bay. You should possess a Bachelor's degree or above in Statistics, Data Science, or other
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. Requirements A Ph.D. degree in the field of public health, biostatistics, pharmacoepidemiology and epidemiological studies Proficiency in data analysis using statistical or computer modelling software, such as