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• Knowledge of population science theory and practice; and implementation research with community partners, including academic and community health systems, including safety-net providers • Extensive experience
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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
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flocculation dynamics. ● Test and refine low-cost optical sensors, including a blue-light absorbance sensor for dissolved organic matter. ● Integrate sensor outputs into process control systems (stepper motor
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for dissolved organic matter. ● Integrate sensor outputs into process control systems (stepper motor–driven coagulant dosing). Desired qualifications: ● PhD in Environmental Engineering, Electrical/Computer
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infrastructure using Internet of Things to mimic modern virtual power plant technologies. Build a control hardware-in-the-loop distribution system simulation and evaluate the performance of virtual power plant
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design, or microcontroller programming. Internet-of-things (IoT) network and dashboard design Experience in atmospheric and/or environmental science fieldwork. Strong written and oral communication skills