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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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. 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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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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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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cutting-edge scientific instrumentation. While maximizing the impact of your own research, you will also expand your professional network and develop new opportunities for your future. The expertise
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, network/agent-based simulation) Experience developing and implementing ordinary differential equation (ODE) models for epidemiological systems Experience fitting epidemic models to data using Bayesian
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, you will build a robust portfolio of technical, analytical, and collaborative skills. Engagement with FDA's regulatory science network and exposure to real-world policy and operational challenges will