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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
excavation and ground response (e.g., geotechnical centrifuge testing, lab-scale TBM experiments). Probabilistic and reliability-based analysis applied to underground structures. Advanced subsurface
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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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distribution systems. Current research initiatives include developing advanced vibration analysis methodologies for wooden packaging systems, predictive modeling for packaging performance, and optimization
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benchmarks, established through mathematical modeling, which describe adaptive stress responses as a function of environment structure and prior experience. What are you going to do? The primary tasks
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well as international partners. Field experiments, digital technologies - including modelling and remote sensing, as well as interactions with stakeholders are key components of Land-CRAFT. You will be part of a research
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. This requires developing formal benchmarks, established through mathematical modeling, which describe adaptive stress responses as a function of environment structure and prior experience. What are you going
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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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University of Southern California (USC) | Los Angeles, California | United States | about 1 month ago
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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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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: Beijing, Beijing 100190, China [map ] Subject Areas: Condensed Matter Physics / Condensed Matter Physics, Electronic Structure, Strongly Correlated Materials , Condensed Matter Theory , condensed matter