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herbicide resistance mechanisms; and Build robust data analysis skills and enhance scientific writing and publishing capabilities. Mentor(s): The mentor for this opportunity is Krishna Reddy (krishna.reddy
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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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this subgroup focuses on the development of rapid, field-deployable detection methods for specific foodborne pathogenic bacteria (e.g., Shiga toxin-producing E. coli, Salmonella, Listeria monocytogenes). Analysis
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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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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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when treatment is delayed. Bibliography with this URL: http://www.ncbi.nlm.nih.gov/sites/myncbi/1TCn-bKqBU0kF/bibliograpahy/48613537/public/?sort=date&direction=ascending Application Requirements A
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Organization DEVCOM Army Research Laboratory Reference Code ARL-C-WMRD-300028 Description About the Research CCDC ARL Center for Agile Materials Manufacturing Science (CAMMS, https
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well as participating in post harvest physical property analysis of harvested peanuts will also be a focus area after plant harvest is completed. Learning Objectives: Under the guidance of a mentor, you will: Learn about
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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