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observations and Earth system simulations to better capture the complexities of the hydrologic cycle. This research initiative focuses on enhancing the physical representation of hydrological processes in
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numerical representations of key hydrological processes, such as evapotranspiration and groundwater movement. Integrating remote sensing–derived agricultural management data (e.g., cover crops, conservation
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observations, and transform them into structured, model-ready representations. Through embedding-based retrieval and semantic geophysical indexing, the AI system will organize and synthesize disparate datasets
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) incorporate representations of physical process including various cloud physics packages, radiative transfer processes (including satellite simulator modules), land and ocean surface exchange processes, and
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Federal Background Check Highly competitive applicants will have the following knowledge, skills, and qualities: Excellent organizational skills, attention to detail, and sound skills in written and oral
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of the relevant fields. Preferred skills Knowledge of food chemistry, food engineering, biochemistry, and plant physiology. Knowledge and/or experience in purification, characterization, modification, and structure
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& Safety Assessment Research Unit (QSARU) at the U.S. National Poultry Research Center, Athens, GA. The mission of QSARU is to provide scientific knowledge, technologies, and strategies to address critical
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(Neural ODEs), and broader LLM applications. • Knowledge Graphs: Developing Knowledge Graph architectures to map complex interdependencies and uncover insights across multi-sector systems. Explore how
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available for enthusiastic candidates interested in furthering their interests/knowledge in the control of agricultural insect pests. The overall research goal of the group is to develop new pest management
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statistical and data science skills (specific to your level of education) and the ability to communicate knowledge gaps early and acquire necessary technical skills independently and efficiently. Mentor