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or virology; and preferably with basic laboratory skills of animal studies (mouse models). The appointees will conduct research projects related to influenza virus, coronavirus, or Epstein-Barr virus under
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a clear advantage. Preference will be given to those with expertise in advanced statistical methods, such as multiple linear regression, mediation analysis, multilevel modeling, and/or latent variable
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methods, such as multiple linear regression, mediation analysis, multilevel modeling, and/or latent variable models. Or those with experience in managing and analyzing large datasets, and the use
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experience in cellular and molecular biology, cancer biology, immunology or virology; and preferably with basic laboratory skills of animal studies (mouse models). The appointees will conduct research
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and analysing large and complex datasets; expertise in Computational Social Science, proficiency in longitudinal analyses, multilevel modelling, data visualisation, and state-of-the-art statistical
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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
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and epidemiological studies Proficiency in data analysis using statistical or computer modelling software, such as Stata or R Excellent command of written and spoken English A demonstrated record of
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of Professor Stephanie Ma on research projects relating to cancer cell plasticity with a focus on cancer stemness using hepatocellular carcinoma as a model system, that is part of a theme-based collaborative