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flood-induced resistance. Learning Objectives: The participant will expand their skills in plant metabolite analysis, plant genetics, and plant stress biology. They will also receive mentoring in writing
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review, longitudinal study design, and analysis of large administrative health datasets. Appointment Activities: 1) Participate in mentor-guided training on epidemiologic research methods, study design
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and diabetes-related complications using large data sets from electronic medical records, health insurance claim or national surveys, and; Cost-effectiveness analysis of interventions for preventing and
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research literature summaries on special topics during emergency responses; participating alongside communication researchers to include input on instruments, processes, data collections, analysis and
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, PCR/qPCR, gene cloning and expression analysis, lab, greenhouse and field studies of microbes, plants and facilities. Project assignments meet USDA-ARS's mission to find solutions to agricultural
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monitoring Program evaluation and data analysis Capacity building, resource development, and knowledge sharing Stakeholder engagement and partnership coordination Strong written and oral communications skills
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data analysis, literature reviews, manuscript development, and other activities related to scientific publications and applied research projects as opportunities arise. Gain experience in scientific
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. Preferred skills Knowledge of basic methods in genomic sequence analysis and plant genetics. Unix scripting, knowledge of a scripting language such as Python, Perl, awk, or R, knowledge of computational
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within the past five years or be anticipated to be received by 10/31/2026. Preferred skills: Immunology, recombinant, molecular techniques, bioinformatics, and/or data analysis. Animal handling and
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of food chemistry, sensory analysis, food microbiology/food safety, and food engineering Experience in designing, running, and evaluating data from descriptive or consumer sensory panels for food evaluation