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learning background to help develop tools to transform data query, access, display, and sharing, perform analyses, present results, and publish manuscripts. Learning Objectives: The participant will learn
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Organization U.S. Department of Defense (DOD) Reference Code DEVCOM-CBC-2025-0004 How to Apply Click on Apply at the bottom of the opportunity to start your application. Application Deadline 9/26/2025 3:00:00 PM Eastern Time Zone Description The Department of Defense (DoD) is offering a...
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of aflatoxin and resistance to insect damage using both conventional breeding methods and marker assisted breeding. Learning Objectives: The participant will partner with the mentor to learn more about
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for wheat, barley, oat, and rye. As part of a highly collaborative, multi-disciplinary team, the selected candidate will use his/her computational biology and machine learning background to help develop tools
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to a motivated postdoctoral fellow interested in learning and using contemporary functional genomics approaches (CRISPR, RNAi, transgenics, etc.) to characterize the functions of genes involved in
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statistical software. Learning Objectives: Learn about the implementation of the application of machine learning methodologies in plant phenotyping and genotyping for the sugarcane molecular biology lab. Learn
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11/21/2025 3:00:00 PM Eastern Time Zone Description *Applications are reviewed on a rolling-basis. ARS Office/Lab and Location: A postdoctoral research opportunity is currently available with the U.S
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Time Zone Description ARS Office/Lab and Location: A postdoctoral research opportunity is available with the U.S. Department of Agriculture (USDA), Agricultural Research Service (ARS), Center for Grain
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mass spectrometry instruments, perform sample preparation, instrumental and data analysis, and write scientific per-reviewed manuscripts and reports. Learning Objectives: The participant will learn
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fruit, nut, and beverage germplasm collections to inform advanced breeding strategies and improve germplasm management. Learning Objectives: The participant will partner with the mentor to learn more