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, logistics analysis, infrastructure systems analysis, or resilience and disruption modeling. Familiarity with hybrid mechanistic-data-driven modeling, surrogate-assisted optimization, or digital twin methods
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-system data, simulation platforms, and digital-twin or real-time environments as appropriate. Collaborate with researchers across power systems, controls, cybersecurity, and AI/ML to develop publications
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(CFD) to develop and optimize new processes and equipment designs using high-performance computing Develop process- and facility-scale models as the foundation for digital twins of chemical processing
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