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: This fellowship provides an immersive research and professional development experience for a postdoctoral scholar interested in postharvest fruit quality, analytical chemistry, and metabolomics. You will
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limited to: Developing skills in planning and conducting 3D organoid cell culture procedures. Gaining experience carrying out research studies in organoid biology and nutrition Participating in
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scientific findings to technical and non-technical audiences. Through participation in OIA projects and activities, you will develop a broad understanding of innovative scientific approaches that support
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USDA-ARS Molecular Biology Postdoctoral Fellowship in the Natural Products Utilization Research Unit
Project: The Natural Products Utilization Research Unit develops natural products for use in agriculture, producing more toxicologically and environmentally benign pest management tools and improving
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laboratory workflows, aligning scientific outputs with CDC’s commitment to excellence. Research project: We are seeking a full-time ORISE fellow to train with the Quality team (50%) and the Insecticide
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of fresh fruits. The fellowship has two primary learning experiences. You will examine the susceptibility of table grape breeding lines to gray mold caused by Botrytis cinerea, including developing and
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for the characterization and development of cultivars in ornamental (Hibiscus) and small fruit (Blueberry and Muscadine grape) crops. This research is a component of ARS National Programs 301 (Plant Genetic Resources
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the production, value, and safety of pecan, peach, nectarine, and plum crops. Research Project: This overall project is focused on developing small ruminant grazing systems in pecan orchards. You will gain
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data collection with quantitative statistical and modeling analyses and are collaborations with natural resource managers, veterinarians, and academics. You will learn to develop and conduct research
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tools. The opportunity is designed to provide a mentored learning environment centered on technical skill development, applied research experience, and increased understanding of AI-enabled systems and