-
, implementation of management treatments, and the use of coding and process-based models to analyze natural resource dynamics. Learning Objectives: Under the guidance of a mentor, you will build experience in plant
-
, improvement, and deployment strategies. Build collaborative research skills as part of a team researching poultry-health, virology, immunology, and vaccine-development challenges. Mentor(s): The mentor
-
field strains to inform vaccine selection and effectiveness. Build collaborative research skills within a multidisciplinary team focused on avian-influenza vaccinology, pathobiology, diagnostics, and
-
USDA-ARS Postdoctoral Research Opportunity: Development of Novel Vaccines for Poultry Viral Diseases
platform and the evaluation of the efficacy against Marek's disease and targeted poultry disease. You will construct the recombinant Marek's disease virus that expresses the foreign antigens. You will learn
-
sensors, RGB/IR cameras, video systems, insect traps, and other devices to build predictive, AI- and machine-learning based models for monitoring grain quality and detecting deterioration due to mold
-
new initiatives and projects to develop programmatic improvements Building skills required to develop content for, and engage in outreach to, the regulated community and other partners You will also
-
quality and consumer satisfaction. You will also apply statistical and machine-learning tools to explore how physical and chemical fiber parameters relate to dye uptake behavior, dyebath exhaustion, color
-
for allergen detection using mass spectrometry approaches. Build understanding of analytical methods used to improve food allergen detection and characterization. Mentor(s): The mentor for this opportunity is
-
diverse food commodities Build competency in BSL-2 lab practices, including safe handling of foodborne pathogens Gain experience in food quality analysis after the use of novel interventions Develop