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, data engineering, data analytics, artificial intelligence, machine learning, deep learning, natural language processing, and automation using modern tools and techniques. During this fellowship, you will
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architecture trait identification. The overall objectives of the project include: Deep understanding of plant water relations to extreme environmental stresses. Hands-on experience in measuring leaf gas exchange
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/moisture retention in soils, reducing soil compaction, attracting pollinators, etc., but the overall impact of cover crops on rootzone soil moisture availability and deep percolation is not well understood
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within the digital twin environment Developing deep learning architectures for time-series forecasting, anomaly detection, and predictive maintenance of the physical asset Designing and training Physics
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. Genomic Sequencing & Bioinformatics: Gaining a deep understanding of the biological principles underpinning biosurveillance, viral evolutionary analysis, and biothreat assessment. You will learn how
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Diseases (USAMRDC MRIID). What will I be doing? As an Oak Ridge Institute for Science and Education (ORISE) participant, you will engage in a collaborative learning experience alongside a multidisciplinary
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at the Department. Fellows will receive hands-on learning that provides an understanding of the mission, operations, and culture of the DOE. As a result, fellows will gain deep insight into the federal government's
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across the team. This opportunity will involve a mix of skill sets ranging including a deep understanding of various machine learning, transfer and reinforcement learning techniques, developing theories
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on synthesis and application of existing research to current management challenges. Learning Objectives: Develop expertise in fire-use decision frameworks Gain deep experience applying the Intentional Fire-Use
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chemical transport processes. We pursue continued refinement and application of these models and data analysis tools to improve our understanding of deep convective systems as well as tropical and