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with a minimum of one year eligibility remaining. •Strong expertise in first-principles modeling or molecular simulations relevant to catalysis, and experience with machine learning models. •Deep
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systems. • Develop and implement predictive models for packaging performance using machine learning approaches and physics-based simulations. • Investigate logistics optimization strategies for packaging
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. The position involves research in modeling and simulation of within-host virus dynamics, theoretical immunology and multiscale immune-epidemiological models of infectious diseases and teaching two classes per
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, stooping, and bending, and requires the use of personal protective equipment. Preferred Qualifications • Skills in modeling and simulation, preferably using scientific machine learning (SciML) or related