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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
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-to-peer protocols, intelligent electronic devices, and physical simulators of critical infrastructure systems. This includes modeling how digital commands and network activity interact with physical
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pathology, bioinformatics, comparative evolution and other areas. You will also have opportunities to attend scientific conferences for presenting the research results and establish collaborative networks
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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