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. quantitative and/or qualitative counterfactual-based approaches, Difference in Difference models, Qualitative Comparative Analysis, Bayesian hierarchical modelling); o Experience working with and synthesizing
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statistical modeling, including latent growth curve models, multi-group structural equation modeling, latent trajectory analyses, and hierarchical linear modeling to support project research objectives
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intelligence to predict risks of adolescent mental illness and to improve early detection and prevention strategies in primary care settings. This study aims to enhance, deploy, and rigorously validate the Duke
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approaches to understand the interconnections between nutrition, health, food systems, and society. Our lab has pioneered genomics techniques that objectively track dietary intake across hundreds of plant and
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functional genomics to decipher mechanisms of viral gene delivery to mammalian cells, and then using those insights to discover and develop new delivery tools that take advantage of those mechanisms. Work