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on collaboration across scientific disciplines and geographic locations. In addition, many of these technologies rely on the synthesis, integration, and analysis of large, diverse datasets that benefit from high
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for the use of vaccines as a component of integrated control programs. You will evaluate the efficacy of commercial and experimental vaccines. The project involves studying the potential of field viruses
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genomics and II. Barley and oat molecular biology. For the first project, you will help conduct genetic analysis of resistance to stripe rust and hessian fly in barley and map the key genes or QTLs related
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, integration, and analysis of large, diverse datasets that benefit from high-performance computing (HPC). The objective of these fellowships is to facilitate cross-disciplinary, cross-location research through
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USDA-ARS Postdoctoral Research Opportunity: Development of Novel Vaccines for Poultry Viral Diseases
analysis. Learning Objectives: During the fellowship, you will acquire the following skills and knowledge through hands-on training: Recovery of Infectious Avian Herpesviruses: You will learn the techniques
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transcriptomic and other genomic analysis approaches Apply laboratory techniques, sample processing, and data interpretation in a research setting Mentor(s): The mentor for this opportunity is David Holthausen
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: Under the guidance of mentor, you will engage in research focused on analysis
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, microscopical, and high throughput phenotyping technologies with plant stress research. Hands-on experience in the use state of art physiological instrumentation,genetic/genomic analysis, data collection, and
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-function relationships of proteins, the principles of physical and chemical analyses relevant to food and nutrition, and the handling and analysis of plant tissues Problem-solving skills. Interpersonal and
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. coli, Salmonella, Listeria monocytogenes, Campylobacter). Analysis is typically complicated by the complex nature of food matrices and the frequent need to detect very low numbers of targeted pathogens