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data, execute complex simulations, and run "what-if" analyses using natural language. System & Simulation Integration: Integrate legacy utility documentation, real-time sensor streams, and domain
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a doctoral degree must obtain the degree before starting the appointment. Preferred Skills: Practical experience setting up and maintaining geophysical, soil and/or agronomic sensor networks. Ability
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 12 hours ago
environmental systems, heat transfer, fluid flow, thermal systems, or building-energy performance. • Low-carbon materials, concrete, biomaterials, or material characterization. • Sensors, environmental monitoring
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research activities within the USGS network. Required Department Minimum Qualifications: Ph.D. civil engineering, geography, electrical engineering, computer science, geoscience, or related field. Candidates
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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically
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have expertise in one or more of the following areas: Sustainable building systems or materials science Power system modeling, control systems, or HVAC alternatives IoT and sensor networks in the built
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variety of meteorological and snowpack sensors. Learn to document avalanche activity and environmental conditions using standardized protocols. Data Analysis and Modeling Train to process and analyze
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environmental systems, heat transfer, fluid flow, thermal systems, or building-energy performance. • Low-carbon materials, concrete, biomaterials, or material characterization. • Sensors, environmental monitoring