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, the fellow will have the opportunity to collaborate on related research including eDNA detection methods and mapping populations across the growing region. Learning Objectives: Under the guidance of a mentor
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skills by engaging in the full cycle of research activities, including developing research questions and methods, reviewing literature, analyzing data, writing publications for peer review, and presenting
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extraction methods Proficient in program R Proficient with spatial software (e.g., ArcGIS, R, QGIS) Proficient with Microsoft software Comfortable doing research in a remote location and in inclement weather
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to open and maintain market access and improved quality of tropical fruit, vegetable and ornamental crops grown in the Pacific Basin. The long-term goals of our research program are to develop and
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and methods in generation of functional genomic and population genetic data including whole genome sequencing, full-length transcriptomics, epigenetics, and genome structure. This research would include
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-ARS barley and oat research project in Aberdeen whose goals are to enhance barley and oat productivity, quality, and stress resistance by combing traditional, molecular, and genomics methods. The fellow
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USDA-ARS Postdoctoral Research Opportunity: Development of Novel Vaccines for Poultry Viral Diseases
molecular virology and virus recovery methods. Quantification of Virus Infectivity and Titer: The participant will be trained to accurately quantify virus infectivity and determine viral titers, developing
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methods. They will learn to characterize fungal populations and quantify aflatoxin concentrations, gaining expertise in techniques critical to plant pathology research. Statistical Analysis and
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dynamics Collect interview data, qualitatively code interview transcripts, and data analysis Systematically apply evaluation methods to individual projects funded by NC CASC to understand the collective
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., VOF, LS), hybrid methods (Eulerian-Lagrangian); chemical kinetic models based on finite rate chemistry, tabulated kinetic models, or novel methods that improve the computational CPU cost; and fluid