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The Department of Defense (DoD) is offering a postdoctoral fellowship at the U.S. Army Medical Research and Development Command – Medical Research Institute of Infectious Diseases (USAMRDC MRIID). What will I be
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, 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
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pathogens Verticillium dahliae and Fusarium oxysporum are a primary constraint on production of high value specialty crops in California. Synthetic chemical soil fumigants can partially control these diseases
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Organization Centers for Disease Control and Prevention (CDC) Reference Code CDC-2026-0082 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A
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instrumentation, quantitative analysis, and modern modeling approaches that help connect fiber properties to fabric performance. Learning Objectives: Under the guidance of a mentor, you will: Develop
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USDA-ARS Postdoctoral Research Opportunity: Development of Novel Vaccines for Poultry Viral Diseases
prevention and control. Mentor(s): The mentor for this opportunity is Taejoong Kim ([email protected] ). If you have questions about the nature of the research, please contact the mentor(s). Anticipated
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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
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of emerging processing and preservation interventions to control foodborne pathogens (Salmonella spp., Escherichia coli, Listeria monocytogenes) in products such as eggs, and fresh produce and food-contact
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. Knowledge of protein purification (IMAC, SEC, IEX) and quality control (SDS-PAGE, Western blot, HPLC). Familiarity with structural and biophysical characterization techniques, particularly BLI/SPR. Strong
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to model fungal population shifts and identify environmental or biological drivers of mycotoxin risk. Collaborating with plant pathologists, microbiologists, chemists, and data scientists to develop