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short-horizon forecasting and patient-specific rebasing; implement data-assimilation methods (Kalman/Bayesian updating); design anomaly detection and missing-information inference logic. 40% Software
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sequential experimentation Bayesian optimization and active learning contextual bandits, reinforcement learning and online experimentation causal inference and treatment-effect heterogeneity
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trial design, and sequential experimentation Bayesian optimization and active learning contextual bandits, reinforcement learning and online experimentation causal inference and treatment-effect
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computational model fitting, Bayesian inference, simulation, or formal model comparison. Experience designing or analyzing experiments in judgment and decision making, evidence accumulation, or response
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genetics Human genetics Population genetics Evolutionary genetics Bayesian statistics Machine learning Large-scale genomic data analysis High-performance computing Experience in human population genetics
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young adults exposed to firearm injury and estimate prevalence rates of mental health outcomes, firearm injury, and mortality among network members to identify future opportunities for interventions
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with national consortium partners, write technical publications, and prepare milestone-ready contract deliverables. 60% Dynamic Immune & Organ Modeling: Develop fast, interpretable ODE /network
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through context specific gene regulatory network to influence phenotype”. Applications will be received until the position is filled. Basic Qualifications We seek a computational genomics postdoc to
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., Indiana Network for Patient Care), and health information infrastructure. This environment supports both methodological research and operational implementation across state, national, and multi
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., Indiana Network for Patient Care), and health information infrastructure. This environment supports both methodological research and operational implementation across state, national, and multi