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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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, 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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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
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collecting soil, plant, and water samples; monitoring soil moisture with advanced sensors; organizing and processing research data; and contributing to modeling efforts that examine water and nutrient dynamics
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sensors, laboratory and greenhouse space, as well as cloud and supercomputing resources. We also engage closely with researchers at University of California campuses, especially those in Davis. Learning
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blast sensor data, waveform measurements, and historical exposure records to validate computational models and confirm the accuracy of ANOR thresholds and health risk predictions. Engaging with
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to classify rangeland plant species, and (2) using transfer learning to adapt deep learning models for imagery analysis to varying UAV sensors and conditions. These techniques will allow you to identify and
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processes; Develop telemetries/communication pathways for facilitating real-time or near-real-time collection/visualization/querying of environmental Internet of Things sensors; Develop web-based applications
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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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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