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cotton, corn, peanut, wheat, and soybean—by integrating crop simulation models (e.g., DSSAT, APSIM) with remote sensing (multispectral/hyperspectral, and advanced data science methods. The successful
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changing world: A multiple case study” research initiative, which has been recommended for funding by Mississippi Alabama Sea Grant. This mixed-methods project will constructively evaluate the long-term
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in the following areas: Deep Learning, Scientific Machine Learning, Stochastjc Gradiant Descent Method, and Numerical PDE’s - Advised by Dr. Yanzhao Cao Probabilistic Graph Theory (Network Traversal
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the Southeastern U.S. is likewise desirable. Familiarity with advanced methods for chemical and biological analyses of algae culturing and biomass is additionally desirable. Special Instructions to Applicants