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. Description: NASA Inexpensive Network Sensor Technology for Exploring Pollution (INSTEP) is a low-cost air quality sensor network utilized in combination with NASA remote sensing datasets to analyze air quality
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Institute for Science and Education (ORISE) participant, you will join a community of scientists and researchers in an effort to advance software network controls and data sharing mechanisms to enhance
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SEA-2026-0267 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete application consists of: An application Transcript(s) – For this opportunity, an unofficial...
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Organization National Energy Technology Laboratory (NETL) Reference Code NETL-Postdoc-2026-Duan How to Apply A complete application consists of: An application, including academic history, work
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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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, edge sensors, and a low-order wavefront sensor. Keck Observatory remarkably has a similar wavefront control architecture to that proposed for HWO, and unlike high-contrast imaging testbeds, has realistic
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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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can enable low-cost and long-lasting planetary exploration missions to hot planets. Our research objective is to develop a sensor technology platform that is temperature and radiation tolerant using
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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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sensors, RGB/IR cameras, video systems, insect traps, and other devices to build predictive, AI- and machine-learning based models for monitoring grain quality and detecting deterioration due to mold