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collected for various experiments and interpret to understand biology of plant-pathogen interactions Collaborate with other lab members on various projects to conduct computational analyses in parallel
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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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- Psychological Sciences Working Title (if different from Position Title) Job Summary The Neurobehavioral Dynamics lab is looking for an Student Research Assistant interested in computational approaches, including
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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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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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., EPA guidelines). Troubleshooting: Identify and resolve technical issues with instrumentation and analytical procedures, potentially assisting in the development and validation of new methods
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The Small Fruit Breeding Program at Auburn University is seeking a breeding data manager and curator specialist (Post Doc Fellow) to support the research activities of a USDA Specialty Crops Research
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computer networks is a plu Experience with Linux – Knows C++ and Python Knowledge of basic principles in one or more of the following: chemical synthesis, spectroscopy, engineering (nuclear, electrical
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for coordinating the peanut disease research program. The individual will also be expected to assist in managing Official Variety trials for cotton, corn, grain sorghum, peanut, ryegrass, small grains, and soybeans
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under my supervision to support research related to AI-driven modeling of forestry systems, plant physiological processes, and ecological traits. The position will focus on developing computational models