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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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students and collaborate on aquatic ecology field projects in southeast Alaska wilderness watersheds. Learning Objectives: Learn about bioenergetic food web models to quantify food web energy fluxes between
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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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to support both premarket and postmarket safety evaluation. Learning Objectives: The fellowship will provide you with learning in regulatory data science through weekly mentored meetings and monthly steering
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an enhanced user interface that incorporates various functionalities to support adverse event analysis. Learning Objectives: You will join generations of scientists in the field of pharmacoepidemiology
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project is supported under 21st Century Cures Act (2016) Section 3022 (Drug Safety) to evaluate real-world evidence data on drug’s use or risks from sources other than clinical trials. Learning Objectives
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an enhanced user interface that incorporates various functionalities to support adverse event analysis. Learning Objectives: You will join generations of scientists in the field of pharmacoepidemiology
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. Learning Objectives: You will join generations of scientists in the field of pharmacoepidemiology, pharmacovigilance, and drug safety through this learning opportunity. You will receive mentorship by experts
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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