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for combat trauma, directed energy exposure, extreme environmental exposure, and/or toxicant exposure. You will participate in and learn to perform data collection and analysis pertaining to testing toxicants
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gaps regarding reforestation under increasing disturbance Advance skills for modeling silviculture and genetics treatment outcomes Gain advanced data analysis skills in the data management, analysis, and
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help with muscadine and blueberry fruit quality analysis, ploidy manipulation, chromosome analysis, tissue culture and transformation. Help maintain and care for plants in greenhouse and field. Conduct
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Ishida), in the Southeastern United States. This research is a component of USDA-ARS National Program 304 (Crop Protection & Quarantine). The postdoctoral fellow will conduct ecological, behavioral, and
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use a range of spatial and analytical software for data analysis to include ArcGIS, Kaleidoscope Pro, and R. Other activities will include entering data, transferring acoustic files, data management
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an enhanced user interface that incorporates various functionalities to support adverse event analysis. Learning Objectives: You will join generations of scientists in the field of pharmacoepidemiology
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greenhouse and field experiments Acquire knowledge around genotyping and data analysis using the Diversity Array Technologies (DArT) platform Learn approaches used for marker traits associations in a polyploid
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growing conditions. We seek a highly motivated fellow to learn about assessing multi-omic data and perform comprehensive genetic and genomic analysis. The candidate will have an opportunity to gain
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veterinary importance. Under the guidance of the mentor(s), the fellow will contribute to the design, implementation, and data analysis of field-based research on new world screwworm and mosquito-borne
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generating, analyzing, and interpreting transcriptomic data collected from fungal competition experiments. This will include extraction of fungal RNA from crop and soil substrates, data analysis in a High