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knowledge or prior experience in agriculture, grain science, engineering, or entomology. Stipend $45,000.00 – $50,460.00 Yearly Point of Contact Janeen Eligibility Requirements Citizenship: U.S. Citizen Only
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Dynamics Investigation (GEDI) and ECOSTRESS instruments with Sentinel and Landsat time series to characterize vegetation structure, ecosystem water stress, wildfire severity, and post-fire recovery. Research
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USDA-ARS Postdoctoral Research Opportunity: Development of Novel Vaccines for Poultry Viral Diseases
disease virus vaccines to prevent both Marek's disease and other poultry diseases. The project involves the construction of recombinant vaccines using molecularly cloned Marek's disease virus as a vector
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cotton fiber structure affects coloration. You will engage with a multidisciplinary team spanning chemistry, plant science, textile technology, engineering, and data science. This team is dedicated to improving
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design with hands-on wet-lab expression, purification, and biophysical characterization. You will have the opportunity to learn and gain experience at the intersection of structural biology, AI, and
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-Spectrometry, and Protein Engineering Research is available within the Food Processing and Sensory Quality (FPSQ) Unit in New Orleans, LA. The research will focus on protein chemistry and mass-spectrometry
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protein expression and purification, biochemical screening assay development, computational structural modeling, cell-based antiviral validation studies, and exposure to preclinical small-animal research
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fields (e.g. Molecular Biology, Plant Biology, Biochemistry, Microbiology, Agronomy, or closely related field). Preferred skills: Experience with DNA extractions and PCR technology. Experience in a
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program that includes chemists, geneticists, and plant physiologists. Over the course of this opportunity, you will develop a thorough understanding of cotton breeding, oilseed engineering, genome editing
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how these dynamics influence mycotoxin contamination in corn. You will be a part of a multi-year project aimed at: Characterizing fungal population structure and succession across key phenological