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-sensor fusion, and propagation modeling — to develop AI-enabled detection, classification, and triangulation algorithms for critical energy infrastructure applications. This position resides within
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environment to support agricultural decision making with advanced remote sensing and geospatial technologies. Responsibilities: Develops advanced Agro-geoinformatic algorithms for monitoring and predicting
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); execute PoCs and tech transfer with foundries, equipment/materials/metrology vendors. Data & Platforms: Establish robust data governance and MLOps pipelines; develop reusable algorithms and prototype
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has an anticipated start date of May 18, 2026. You will: Lead advanced research projects on electricity system planning, including for bulk power and distribution systems; energy resources and delivery
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, modeling, or AI/ML approaches in agricultural or environmental research. -Proficiency in server administration, distributed computing, and cloud platforms (AWS, Azure, Google Cloud). -Knowledge of full-stack
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programs development. This position will work closely with the Center’s Director and collaborate closely with faculty, industry partners, and students to lead high-impact projects in microgrids, distributed
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distributed computing for EMT simulations. • Experience with software development in Python, C++, or other programming languages. • Familiarity with GPU acceleration of numerical solvers, parallel sparse
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and distribute evaluation materials to participating sites. ● Support data verification processes for accuracy and completeness. ● Contribute to process improvement efforts to enhance evaluation