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, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (27 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (45 ) Mathematics and Statistics (11
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using different LC/MS or GC/MS based techniques. Learning Objectives: As a result of this training, you will gain knowledge and experience in: Liquid chromatography, gas chromatography, and the hyphenated
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field environment, and will be involved in creating experimental designs and treatments, collecting experimental data, and analyzing and interpreting results. Learning Objectives: Under the guidance of a
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USDA-ARS Postdoctoral Research Opportunity: Development of Novel Vaccines for Poultry Viral Diseases
of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: The ORISE participant will be part of the research team learning about developing
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collaboration with the mentor and other project members, to refine the focus of these activities based on the knowledge base, skill sets, and interest of the participant. Learning Objectives: The fellow will be
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will develop research treatments and fully collaborate on research during the course of their postdoc program. The postdoc will statistically analyze data with the guidance of his/her mentor. Learning
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technologist. They will take part in the research and analysis of protein extraction and characterization in relation to food quality and safety. Learning Objectives: The participant will learn to incorporate
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and ion), mass spectrometry, and capillary electrophoresis. Learning Objectives: Become familiar with the collection, extraction and analysis of horticultural samples Develop skills in the following
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USDA-ARS Postdoctoral Research Opportunity: Development of Novel Vaccines for Poultry Viral Diseases
of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: The ORISE participant will be part of the research team learning about developing
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suitable micro-climate conditions. Learning Objectives: Under the guidance of one or more mentors, candidates will analyze raw acoustic data (i.e., soundscape) to identify and isolate the presence/absence