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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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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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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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will develop hands-on experience in plant physiology, nutritional assessment, disease severity evaluation, transcriptomic and metabolomic analysis, and scientific data interpretation. You will also gain
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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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relevant information from medical imagery, video feeds, and operational sensor streams. Building and integrating multi-modal models that fuse vision, text, audio, physiological signals, and structured
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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