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leadership in agricultural discoveries through scientific excellence. Research Project: The mission of the U.S. Vegetable Laboratory is: a) to improve genetic populations of vegetable crops by combining
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inference) Algorithmic development for bilevel (or multilevel) optimization Methodological developments in Bayesian statistics and/or decision analysis Application of adversarial risk analysis within security
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ecology, remote sensing, and computer science. UAV imagery and increasingly sophisticated and targeted AI algorithms can estimate forage quality, biodiversity, and the abundance of individual plant species
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Crop Genetics Research Unit, Ames, Iowa, and National Center for Agricultural Utilization Research, Peoria, Illinois. The Agricultural Research Service (ARS) is the U.S. Department of Agriculture's chief
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USDA-ARS Molecular Biology Postdoctoral Fellowship in the Natural Products Utilization Research Unit
the use of natural products, either by discovering safer natural pesticides or by manipulating their production in plants by genetic engineering or other means. You will use plant molecular biology to
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-Informed Neural Networks (PINNs) and hybrid models that respect the physical laws governing the real-world system Applying Deep Reinforcement Learning (DRL) algorithms to optimize processes within simulation
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underlying genetic components, helping researchers better understand how plant genetics and fiber quality interact. You will engage in a collaborative, multidisciplinary research program spanning chemistry
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of our agriculture. The vision of the agency is to provide global leadership in agricultural discoveries through scientific excellence. The mission of the USDA-ARS Corn Insects and Crop Genetics Research
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, proteins and biochemical pathways controlling lignin, starch and flowering in sorghum. Under the guidance of a mentor, you will use genomics, biochemistry, physiology and genetics to analyze the genes
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accelerating the improvement of pecan cultivars through the discovery of novel genetic variation, development of genomic-assisted management techniques, or other applications of genomic technology in pecan