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-dimensional variational (4D-Var) modeling with research involving sensors and autonomous vehicles. The work will address autonomy and path planning; use Observing System Simulation Experiments (OSSEs
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, the fellow will lead the development and execution of advanced functional and distributional data analysis techniques. This role requires independent analytical acumen to design simulation studies, process
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experimentation, modeling, simulation, and optimization of chemical processes. The successful candidate will work on the development of advanced process models combining experimental investigations with
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Access (OEA) at (631) 632-6280 or visit OEA . In accordance with the Title II Crime Awareness and Security Act a copy of our crime statistics can be viewed here . Visit our WHY WORK HERE page
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Awareness and Security Act a copy of our crime statistics can be viewed here . Visit our WHY WORK HERE page to learn about the total rewards we offer. SUNY Research Foundation: A Great Place to Work
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neuroimaging. The successful candidate will participate in the design, simulation, construction, and experimental evaluation of advanced RF and electronic systems for biomedical imaging applications
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a highly motivated Postdoctoral Researcher in Process/Chemical Engineering to contribute to advanced research in experimentation, modeling, simulation, and optimization of chemical processes
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. Conduct transportation resilience assessment and enhancement studies based on GIS, complex network analysis, and machine learning. Simulate human mobility in response to extreme weather events (e.g
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) with clear indication on the motivation to apply for this position, a copy of a PhD degree certificate. If you are interviewed, you will be asked for contact details for two references. The deadline
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
related quantities obtained from non-local matrix elements, as well as on the development of algorithms and software for large-scale lattice QCD simulations on DOE leadership-class computing facilities