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innovation behaviors and processes and cultivate innovation ecosystems in complex organizations tackling multi-stakeholder, multi-attribute challenges. -Contribute to the Institute for Innovation Science's
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Reeling on a project in partnership with the Indiana Department of Natural Resources. The goal of the project is to generate a model of deer hunter behavior in response to disease outbreaks using survey
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advanced data science methods, including statistical modeling and machine learning approaches Developing and applying novel causal inference methods, such as target trial emulation and causal AI frameworks
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spectrum - from molecular biology studies of disease mechanisms to human clinical trials testing treatments. The selected candidate will gain experience with human research subjects, genetic mouse models
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microenvironment, and other biological processes. Conduct preclinical studies using in vivo disease models (cancer, inflammation, organ injury, etc.) and new alternative methodologies (advanced biological models
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behavior of pests, their response to pesticides, including physiological and genetic mechanisms of resistance, innovations in applied pest management research (e.g., molecular, computational modeling
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central component of this work is the development and application of machine-learning and AI techniques to identify weak, rare, or previously unknown nuclear transitions in complex spectral data. Advanced