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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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medication use Applying frameworks such as the Andersen Behavioral Model (ABM) and 4Ms of Geriatrics Conducting advanced data analysis and predictive modeling Engaging patients, caregivers, and health system
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activities in the project. The scholar will be encouraged to integrate and develop independent projects within the scope of the project. The main responsibilities include overseeing study development and data
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environmental data to uncover the impact of early life experiences on long-term mental health. You can learn more about the Lab’s work on baby teeth on our website: www.teethforscience.com As a Postdoctoral
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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