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diseases and their impact on interstate and international trade and community health. They will learn surveillance procedures, diagnostic testing methodologies and algorithms, serological diagnostic methods
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. Key training activities will include: 1) Conducting literature review, identifying research questions and relevant clinical datasets; 2) Applying scientific methods to advance and support the regulatory
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management methods. The fellow will be a part of guided experimental design, data analysis, and manuscript preparation. Learning Objectives: To support the research and training of the postdoctoral research
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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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reporting soil health results back to participating farmers. Learning Objectives: Under the guidance of a mentor, the fellow will gain hands-on experience with laboratory methods for soil health assessment
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results back to participating farmers. Learning Objectives: Under the guidance of a mentor, the fellow will gain hands-on experience with laboratory methods for soil health assessment, learn how to handle
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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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the guidance of a mentor, this opportunity will involve: developing and applying methods in computational biology and artificial intelligence to gather information about gene function in the legume family; using
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foreign fungal plant pathogens. Gain understanding of fungal virulence factors and mechanisms of pathogenicity through mentored research. Learn methods for characterizing high-consequence agricultural
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-clinical models and multi-omic approaches. The proposed research involves the application of state of the art methods such as single cell RNA-Seq/ATAC seq/spatial transcriptomics on preclinical animal models