Sort by
Refine Your Search
-
Category
-
Field
-
-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
-
data collection, data quality, interpretation, and dissemination of RESP-NET findings. Gain experience developing and refining surveillance data collection tools, protocols, guidance, and other
-
training, travel to communicate findings, and professional networking will also be available. Learning Objectives: Under the guidance of a mentor, you will have the opportunity to learn to: (a) plan, execute
-
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
-
surrounding areas to inform the PHAs. Network and gain communication experience through community outreach and coordination meetings with partners and key stakeholders. Learn about priority hazards and evolving
-
locations following standardized protocols established by the Smithsonian’s Center for Tropical Forest Science and used by all plots in the global network. You will be field based within a tropical forest
-
. Research learning activities may include: Designing and implementing Discrete Event Simulation (DES) models to simulate complex system workflows, queuing networks, logistics, and operational state changes
-
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