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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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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. The Tropical Pest Genetics and Molecular Biology research unit at the Pacific Basin Agriculture Research
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. The research is part of a series of studies aimed at increasing our understanding of the biology and ecology of western bark beetles and the development of sustainable management strategies for forested
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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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sustainability and interactivity, primarily 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
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diseases in cereal crops. Learning Objectives: This project will offer training and experience in a variety of molecular biology techniques used in studying plant-pathogen interactions. The candidate will
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analysis. Experience with advanced sequencing technologies. Experience in population genetic analysis. Familiar with molecular biology techniques and preparation of genome sequencing libraries. Familiar with
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SEA-2025-0119 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete application consists of: An application Transcript(s) – For this opportunity, an unofficial...
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the Grape Genetics Research Unit (GGRU) in Geneva, NY is looking for participants interested in gaining knowledge and experience in grapevine biology and genetics. Specifically, we are using research
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the one of the relevant fields (entomology, biology, molecular biology or related field). Preferred skills: Experience and interest in designing and conducting experiments under controlled (laboratory