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into scalable, high-performance code. Participants will have the opportunity to learn to apply and hone these skills and acquire additional ones as they work on real-world problems. Examples of Research Areas
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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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flood-induced resistance. Learning Objectives: The participant will expand their skills in plant metabolite analysis, plant genetics, and plant stress biology. They will also receive mentoring in writing
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Organization National Energy Technology Laboratory (NETL) Reference Code NETL-Postdoc-2026-Duan How to Apply A complete application consists of: An application, including academic history, work
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aerial vehicle (UAV) imagery collection and processing, deep learning methods, and rangeland vegetation communities in Oregon and Idaho as part of an interdisciplinary team including researchers in plant
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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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. 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