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to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural problems that also depend
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to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural problems that also depend
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validating the gene functions with transformation and molecular experiments. Lastly, you will assist in analyzing the gene-edited plants to improve grain quality in barley and oat. Learning Objectives: You
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. Learning Objectives: During the fellowship, under the guidance and mentorship of the mentor and senior research staff, you will: Learn how different environmental stress and biotic factors affect tree
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of our agriculture. The vision of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: You will assist in research into the genetics
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, immunohistochemistry, cell/tissue processing, and ELISA/immunoblots, and the scientific communication of research findings. Learning Objectives: Under the guidance of a mentor, you will have the opportunity to learn
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, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural
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used in agricultural and environmental research. Develop skills in collecting soil, plant, and water samples under field conditions. Learn to establish and maintain field experiments, including planting
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app in the Apple App Store or Google Play Store to help you stay engaged, connected, and informed during your ORISE experience and beyond!” Application Deadline 11/20/2026 3:00:00 PM Eastern Time Zone
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GO mobile app in the Apple App Store or Google Play Store to help you stay engaged, connected, and informed during your ORISE experience and beyond!” Application Deadline 12/4/2026 3:00:00 PM Eastern