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, and agricultural resilience. Learning Objectives: Under the guidance of a mentor, the participant will have the opportunity to: Design and conduct bioinformatics research projects focused on Nipah virus
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experience at the interface of virology, vector biology, and animal health. Learning Objectives: Under the guidance of a mentor, the participant will have the opportunity to: Participate in ecological studies
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for participants seeking to expand their expertise in molecular biology, virology, ecology, or bioinformatics while contributing to projects of national importance. Learning Objectives: Under the guidance of a
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husbandry from and with a team of highly experienced researchers and technicians. Learning Objectives: The participant will engage with beekeeping and public stakeholders to develop communication skills, have
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. Learning Objectives: The participant will learn skills in the Protein Function and Phenotype Prediction SCINet group. They will learn to develop and deploy AI-based protein structure prediction tools
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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
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resistance breeding efforts, ultimately benefiting soybean growers across the Midwest. Learning Objectives: Under the guidance of a mentor, the participant will learn: To prepare next-generation sequencing
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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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extended crop rotations. Learning Objectives: The intended outcome of this research is to improve nutrient-use efficiency in conventional Midwestern corn-soybean production systems, to increase the use
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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