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in longitudinal analyses, multilevel modelling, data visualisation, and state-of-the-art statistical and epidemiological models would be an advantage. The appointees will be primarily responsible
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analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies
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(e.g., multilevel modelling, structural equation modelling, latent profile analysis, etc.), will be an advantage, as will a strong publication record with internationally recognised journals
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of family and mental health are preferred. They should be competent in advanced quantitative analysis (e.g. SEM, multi-level modelling, factor analysis) and experienced in using statistical software (e.g
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skills. They should demonstrate the ability to perform quantitative research and statistical analysis, conduct psychiatric interviews, and manage database. Applicants with experiences in conducting
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of responsibility and commitment. Preference will be given to those with previous research experience in virus-host interaction, influenza viruses and animal models. Eligibility to work in Biosafety
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Chinese (knowledge of spoken Cantonese would be an advantage). A strong background on quantitative research methods and statistical modeling as well as the design and validation of performance assessment
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availability and satisfactory performance) Applicants should possess a PhD degree in Nursing, Social Sciences, Social Work, Statistics, Public Health or related disciplines. They should have a good command of
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backgrounds, many of whom are internationally renowned. Post-doctoral Fellowships and Research Assistant Professorships Applications are invited for a number of positions as Post-doctoral Fellow (PDF) and
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invites applications for two positions as Research Assistant Professor (RAP) in Urban Analytics or Construction AI (Ref. no. 532734). Appointments will commence as soon as possible on a one- to three-year