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to reduce foodborne illnesses attributed to meat and poultry. Research Project: This educational opportunity focuses on understanding and evaluating methods for Salmonella quantification and virulence assays
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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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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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to receive by 9/30/2026. Preferred skills: Demonstrated experience and extensive practical experience in modern genomic and transcriptomic methods, including but not limited to comparative genomics, population
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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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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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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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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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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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-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