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Chen in the Mechanical Engineering department at Embry-Riddle Aeronautical University specializes in the development and application of computational models for thermo-fluids transport processes
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 2 hours ago
fluid dynamics code and the NEQAIR radiative solver. Comparisons of DPLR/NEQAIR results to EAST measurements reveal several discrepancies which may be addressed by improving model fidelity and input
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior research scientist to develop hybrid models for sea ice that combine coupled climate models and machine
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of molecular reactions occurring at the surface of various materials. In addition, computational fluid dynamics (CFD) simulations combined with microkinetic modeling will be carried out to study the heat
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multidisciplinary team comprised of fellow postdoctoral appointees, experimentalists, and staff scientists, with computational fluid dynamics (CFD) and artificial intelligence/machine learning (AI/ML) expertise, with
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laboratory in the Department of Radiology at Stony Brook University. The successful candidate will lead efforts to quantify multi-scale neurofluid dynamics, including blood flow and cerebrospinal fluid
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testing approaches for predicting induced seismicity and using observations of seismicity to infer in-situ stress conditions; and 2) developing approaches to predict and adapt to changes in fluid
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: 272540360 Position: Postdoctoral Research Associate Description: Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks postdoctoral scientists or research
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: We are searching for a multi-phase combustion computational fluid dynamics (CFD) Post-doctoral Scholar to join our Technology Concepts and Modeling Department
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differential equations, computational fluid dynamics, material science, dynamical systems, numerical analysis, stochastic analysis, graph theory and applications, mathematical biology, financial mathematics