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to integrate diverse perspectives and convergent methods in addressing complex social dimensions of wildland fire management. Mentor: The mentor for this opportunity is David Flores (david.flores2@usda.gov
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: You will be trained in state-of-the-art methods for assessing iron bioavailability from foods and apply those methods to address stakeholder needs. You will also be trained in techniques of liquid
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• Experience with protein purification • Record of publications in peer-reviewed journals • Knowledge of immunology, virology • Experience with structural biology software (Pymol, Phenix, Chimera, etc) Point
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breeding and molecular biology. Learning Objectives: As a result of this experience, the participant will: Learn methods to conduct transformation of sugarcane, Learn genomics, bioinformatic methods
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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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of basic laboratory assays (i.e. ELISA, flow cytometry, western blots, cell culture or other molecular and cellular biology methods), immunological/virological assays (i.e. neutralization assays, plaque
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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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of honey bee samples using microbiological, molecular biological, and chemical methods. This includes characterizing and quantification of pathogens and beneficial microbes, which are critical components
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on developing methods for the genetic engineering of grapevine (Vitis vinifera) and potentially other plants with the goal of generating plant varieties with novel desirable traits. Combinations of tissue culture
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agricultural yield prediction models for use in plant breeding through a combination of high-throughput phenotyping data, physiological crop growth modeling, and artificial intelligence methods. There will be