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areas. This fellowship places a strong emphasis on the application of machine learning, artificial intelligence, and bioinformatics to solve complex biological problems. Potential research activities may
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, visit the ORISE Research Participation Program at the U.S. Department of Defense . Qualifications The qualified candidate will hold a PhD degree in Biomedical Science, Bioinformatics, Data Science
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collaborations with USDA experts in molecular virology, immunology, bioinformatics and genomics. Mentor(s): The mentor for this opportunity is Stephen Spatz (stephen.spatz@usda.gov ). If you have questions about
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genetic resources, forage legumes, plant genetics, plant breeding, molecular biology, bioinformatics, and data management. Organizational capacity for curating, cataloging, and storing large amounts of data
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, bioinformatics, precision technologies, agronomy, and reproductive physiology in beef cattle, as well as opportunities for collaboration and networking. Mentor(s): The mentor for this opportunity is Brittany Davis
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, diagnostic assay development, high-throughput sequencing, multi-omics research, and/or bioinformatics. Experience using advanced scientific technologies to creatively solve agricultural challenges is
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assessment of mutations) Demonstrated skill and practical experience in molecular biology techniques (e.g., nucleic acid purification, gene amplification and cloning, bioinformatic analysis of genomic data
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breeding and molecular biology. Learning Objectives: As a result of this experience, the participant will: Learn methods to conduct transformation of sugarcane, Learn genomics, bioinformatic methods
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blotting or ELISA for protein detection is highly desirable. Additionally, the ideal participant will demonstrate an interest in using bioinformatic tools for data interpretation and a commitment to