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Postdoc: AI/ML for Uncertainty in Multiscale Materials

Sacbar

Sandia National Laboratories seeks a highly motivated Postdoctoral Appointee to work at the intersection of computational science, applied math, and data-driven modeling. You will contribute to AI/ML methods for uncertainty quantification in multiscale materials modeling and to domain decomposition-based hybrid modeling that couples full-order and reduced-order models. The role involves developing adaptive methods for online switching between ROMs and FOMs, balancing efficiency and accuracy, and #J-18808-Ljbffr Sacbar

Vacancy posted 4 days ago
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