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machine learning (ML), hydrologic and energy systems simulations, and scenario forecasting-to evaluate dynamic energy-water futures and resilience strategies for diverse Idaho communities. Job Summary/Basic
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dataset using a physically based model, using a unique hydrometeorological dataset for the Reynolds Creek Experimental Watershed, and then apply Artificial Intelligence/Machine Learning (AI/ML) methods
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teamwork and communication skills. ● Scientific writing skills demonstrated through peer reviewed publications. ● Ability to acquire accurate, reproducible data. ● Critical eye towards consistency
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work closely with I-CREWS researchers across the state. The position emphasizes developing, integrating, and applying modeling approaches—including machine learning (ML), hydrologic and energy systems
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through peer-reviewed publications. Ability to acquire accurate, reproducible data. Critical eye towards consistency, reproducibility, and the scientific method in general. Excellent project and time