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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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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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environments. Flight Dynamics and Control research makes significant usages of 6-DOF guided flight models to connect together component flight, control, and sensor models and understand their performance as a
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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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when these arise. Research Project: The Respiratory Virus Hospitalization Surveillance Network (RESP-NET) Team, within the Surveillance, Epidemiology and Prevention Branch of CORVD, is seeking a
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and research in several areas. These include, but are not limited to: Adversarial location and network interdiction models Adversarial machine learning attacks and defense (e.g., against Bayesian
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Demonstrated knowledge of test measurement instruments, e.g., multi-meters, cameras, thermometers, sensors Application Requirements A complete application consists of: Zintellect Profile Educational and
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the development of image/signal processing algorithms from a multidisciplinary approach, to include multiple sensor modalities. These multidisciplinary research opportunities incorporate theoretical and
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well as communicate with research networks within the scientific community. Learning Objectives: As part of this learning experience, you may: Learn how grapevine populations and germplasm are evaluated to identify