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regulatory expectations. You will gain experience in hands-on microbiological research, performing quantitative colony counting, ATP-bioluminescence data analysis with respective commercial software, and
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advantageous. Additional preference will be given to candidates with computational experience in protein structure–function prediction, metabolic or biochemical pathway analysis, machine learning applications in
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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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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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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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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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satisfactorily complete suitability and reliability screening and analysis. The participant must maintain the standards prescribed for the Army Biological Surety Program, which may include federal drug screening
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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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to experimental design and data analysis, publish findings in peer-reviewed journals, and participate in the communication of results to scientific and stakeholder audiences. Learning Objectives: This fellowship
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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