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tolerance for varietal selection. Learning Objectives: Participant will gain laboratory, field, and programming skills to develop the digital twin and other AI models using ground and above-ground sensors and
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education and/or experience in one or more of the following: Experience with mathematical and computer modeling & simulation, mechanics, multi-physics numerical simulations, sensor technologies Experience
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research in several areas. Learning activities will focus on: The development and characterization of animal models and/or microphysiological systems for viral agents. Emphasis is placed on determining
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online databases or interactive websites. Learning Objectives: TUnder the guidance of a mentor, the participant will learn techniques in genomic epidemiology and machine learning to quantify drivers of IAV
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-containment BSL-3 and BSL-4 laboratories utilizing a wide range of techniques such as in vitro and in vivo infection models, high throughput spectral flow cytometry, microneutralization, immuno-depletion and