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Island. This learning opportunity will include synthesizing information on various mitigation methods (e.g., shaded fuel breaks, fuel reduction treatments, post-fire restoration), developing cost scenarios
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: You will have the opportunity to contribute to collaborative research between the Methods
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, the nation's leading institution for medical biological defense. By joining this program, you will: Gain hands-on experience: Participate directly in high-containment BSL-3 and BSL-4 laboratories, utilizing
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, California, conducts research to enhance food safety and biosecurity by developing new methods for analysis of toxins and bacteria in foods, and safe and effective compounds and management strategies targeting
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, or unsupervised learning methods. Proficiency in Python and familiarity with scientific computing libraries such as PyTorch, TensorFlow, Pandas, NumPy, and related ML frameworks. Experience with large datasets
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interdisciplinary team composed of USDA-ARS and UC Davis experts! We are seeking a fellow to be a part of our research that involves assessing and monitoring aquifer recharge methods in California’s Central Valley
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the production, value, and safety of pecan, peach, nectarine, and plum crops. The postdoctoral fellow will help in implementing experiments to develop novel methods of controlling economically important pests
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bioinformatics tools, pipelines, and statistical methods for the analysis of large-scale genomic and transcriptomic datasets ('big data'), with hands-on experience in high-performance computing (HPC) environments
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, pharmacovigilance, pharmacoepidemiology methods development). In general you will have opportunities to learn: Understanding of pharmacovigilance workflows; GenAI based algorithm and agent development for causality
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businesses to develop new technologies that enhance the nutritional and functional qualities of plant-derived foods and to develop novel methods to detect contaminants and contents in foods that affect food