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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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applied CFD simulations, specifically in modeling combustion and multiphase reacting flows. Experience with physical processes in combustion, high temperature gas flow, and turbulent flows is required
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, including epigenome-wide association studies (EWAS) and causal inference methods. Assist data analyst in performing data acquisition, storage, cleaning, and pre-processing for large-scale, longitudinal
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management. Requisite skills include DNA extractions (ideally from noninvasive sources), PCR, sequencing and basic statistical modeling (e.g., simple regression). Desired skills include qPCR, ddPCR, and/or
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of mental health risk. Assist data analyst in performing data acquisition, storage, cleaning, and pre-processing for large-scale, longitudinal studies. Lead the write-up of scientific papers to disseminate
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using R for statistical analysis and in statistical modeling. Sound working knowledge of unix shell, high performance compute clusters and git. Willingness to learn and use a scripting language (e.g
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could include topics related to ice and volatiles, planetary thermophysics, surface and subsurface characterization, radar remote sensing, and/or the integration of spacecraft data with modeling. You can
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techniques including deep neural networks and large language models (such as GPTs), with state-of-the-art functional genomics approaches, including crop genomics, genome editing, and single cell multiomics
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fabrication processes utilizing the cleanroom facilities of the Birck Nanotechnology Center located at Purdue University. Accurate documentation and effective communication of all procedures and results