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, plant sciences, plant physiology, or related natural products research; Demonstrated skills in the analysis of volatile and non-volatile analytes, including hands-on experience with HS-SPME-GC–MS, SIFT-MS
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of a scientific mentor, you will gain experience and learn to conduct rigorous data analysis and cross-project data synthesis, identify critical technical and data gaps, and determine future applied
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data visualization tools. Gain experience with metrics and statistical analysis. Learn to employ industry standard techniques to implement IT systems. Gain experience using security compliance
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also receive training in use of Excel spreadsheets, PowerPoint, Visio, and plotting and statistical analysis using various software platforms. Learning Objectives: Under the guidance of a mentor you will
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variety of meteorological and snowpack sensors. Learn to document avalanche activity and environmental conditions using standardized protocols. Data Analysis and Modeling Train to process and analyze
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genomic data analysis to identify resistance alleles associated with insecticide and fumigant exposure. Learn how environmental and ecological variables influence insect population expansion and resistance
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the network. You will also participate in the analysis and interpretation of respiratory virus hospitalization surveillance data, including applying epidemiologic and statistical methods, developing
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increasing capabilities relevant to biology - raise important scientific, operational, evaluation, and biosecurity questions. You will engage in applied research and analysis examining the potential uses
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toxin-producing E. coli, Salmonella, Listeria monocytogenes). Analysis is typically complicated by the complex nature of food matrices and the frequent need to detect very low numbers or concentrations
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collaborators as well as USDA-ARS scientists. The participant will have the opportunity to expand knowledge and expertise in experimental design in vitro and in vivo research data analysis data interpretation