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, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, 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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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
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. Additionally, we intend to measure root water uptake using sap flow meters. The data will be integrated using recently developed physics-informed neural networks in order to translate apparent resistivity data
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natural resource management. Through this research experience, you will gain exposure to interdisciplinary approaches used to study the spatial distribution, spread, and management of chronic wasting
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of basic and applied research Network with world-class scientists Exchange ideas and skills with the Laboratory community Use state-of-the-art equipment Contribute to answers for today's pressing scientific