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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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advanced actuators, smart materials, sensor systems, and new adaptive control methods to manage the open-ended degrees of freedom of morphing systems. Methods will span both active smart-material based
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semiconductor-free emerging sensing materials (plasmonic metal metasurfaces). You will consider how this might represent the first steps to a new generation of inexpensive and uncooled sensors, whether
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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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to participate in a long-term forest dynamics monitoring plot in the Republic of Palau that is part of the Smithsonian Institution’s Forest Global Earth Observatory network known as ForestGEO (https
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personal professional network with federal, university, and industry scientists through collaboration and stakeholder engagement. Mentor(s): The mentor for this opportunity is Nicholas LeBlanc
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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
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technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences. About Photonics, Electronics, & Quantum Sciences (PE&QS) Materials