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experience in one or more of the following areas: development of methods for multi-omics data integration, application of machine learning models in life science, single cell data analysis and spatial
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language models and their applications to above mentioned fields; Prepare research reports, presentations, and manuscripts for publication; and Collaborate with faculty, researchers, and other team members
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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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studies, specifically with mouse models. Proficiency in computer skills, including Microsoft Office (e.g., Word, Excel, PowerPoint) for data management and reporting. Desirable Skills: Proficiency in
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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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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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. 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