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projects that apply machine learning and advanced computational modeling to integrate multi-omics, clinical, and imaging data for biomarker discovery and mechanistic insights in AD. The position offers
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interdisciplinary projects explore how patterns in baby teeth reflect past environmental exposures and predict future mental health outcomes. The research integrates biological measures with developmental and
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consequences of DNA methylation on risk for depression in adolescence and young adulthood. Projects aim to integrate longitudinal data with insights from genetics, epigenetics, and human development to identify
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