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areas. These include, but are not limited to: Applying machine learning algorithms to solve real-world problems. Creating and structuring databases for storage, retrieval, and image analysis. Determining
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to join this development team as a fellow and learn to create, evaluate, and validate rapid, accurate, and sensitive diagnostic methods for detecting disease pathogens. The fellow will have an opportunity
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, focusing on gene editing and molecular breeding techniques. While flowering in sugarcane is an undesirable trait for Florida farmers, it plays a crucial role in crossing and breeding. Through this learning
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establishing a soil moisture monitoring network within agricultural fields for validating NISAR products. The second goal is for the candidate to learn about new technologies in radar and optical remote sensing
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of learning nonlinear, high-dimensional relationships between molecular attributes and biological responses. This project proposes to develop an AI/ML-integrated translational framework that associates
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evaluate how these different extraction processes impact the nutritional profile, physical properties, and effects on appearance, palatability, and flavor of a food product (functionality). Learning
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to unravel key indicators of biological relevance during seed quality testing procedures and contribute to a healthy national and international seed trade economy. Learning Objectives: Under guidance of a
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develop a comprehensive historical review of FADDL's scientific mission. Learning Objectives: Opportunities in this project include but are not limited to learning to review and analyze historical records
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for the different treatments. Complementary measurements of crop leaf area index during the lifecycle of the crop will be taken. Learning Objectives: Learn about nitrogen inputs Learn about fertilizer input/outputs
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, immunogenicity, etc.) Learning Objectives: As a participant, you will have structured learning opportunities in regulatory science, computational toxicology, and artificial intelligence applications in drug