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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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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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Sequencing (GBS), Whole Genome Sequencing (WGS) and targeted genotyping chips (e.g. MassArray) and analyze them together with environmental data using population genetics and machine learning tools
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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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with other PRECISE facilities, potentially supported by analog field work or analysis of planetary remote sensing data. PRECISE provides a unique suite of 13 analytical laboratories enabling a wide range