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Engineering Department has excellent infrastructure to support scholarship, including fluids, water resources, soils, environmental, and structural laboratories, computational research facilities along with
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). This position focuses on the machine learning methodology of the project, aiming to: Develop probabilistic spatio-temporal models that integrate uncertainty from climate projections into land-use forecasts
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quantitative systems pharmacology (QSP). Funded by an NIH R01, our group develops predictive frameworks that integrate advanced AI/ML methods with multiscale mechanistic models of disease biology and drug action
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(AI), mechanistic modeling, and quantitative systems pharmacology (QSP). Funded by an NIH R01, our group develops predictive frameworks that integrate advanced AI/ML methods with multiscale mechanistic
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uncertainty from climate projections into land-use forecasts. Advance Bayesian and ensemble learning approaches for non-stationary temporal processes. Implement probabilistic diffusion or generative models
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
ground response (e.g., geotechnical centrifuge testing, lab-scale TBM experiments). Probabilistic and reliability-based analysis applied to underground structures. Advanced subsurface characterization
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to soil structure, fertility, and ecosystem functions in both natural and managed ecosystems. The postdoctoral researcher will contribute to the investigation of several key questions related to soil health
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
ground response (e.g., geotechnical centrifuge testing, lab-scale TBM experiments). Probabilistic and reliability-based analysis applied to underground structures. Advanced subsurface characterization
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highly skilled and motivated Postodoctoral Scientist with advanced expertise in isotope-enabled ecohydrological modeling. We are looking for an early career scientist who is passionate about unraveling the
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challenges for water sustainability. Job description: The IsoTrace team is seeking a highly skilled and motivated Postodoctoral Scientist with advanced expertise in isotope-enabled ecohydrological modeling. We