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Computational Methods: ab initio molecular dynamics simulations, development of machine learning, and reaction rate theory and modeling Research: Project design, execution of calculations, data analysis
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combination of analyses of root distributions, periodic and high frequency soil moisture data, and physical and chemical soil data. Specifically, the individual will: Work with physical or machine learning
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soil moisture data, and physical and chemical soil data. Specifically, the individual will: Work with physical or machine learning models to explore drivers of soil structure, preferential flow, depth
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and modeling for digital twining Semi-supervised and unsupervised machine/deep learning for damage mapping and quantification Automated data generation through 3D computer graphics and Generative AI