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Field
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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
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, particularly turbulence in the boundary layer; developing new high-speed measurement techniques, particularly using optical diagnostics methods; augmenting experimental data with Computational Fluid Dynamics
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emphasis on hydrocarbon reservoir systems. We are especially interested in candidates with research interests in geomechanics, tectonics, sedimentary basin dynamics, and hydrocarbon reservoir systems
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should have: Demonstrated experience with computational fluid dynamics (CFD) is required. Experience with computer aided design (CAD) tools would be an asset. Experience with programming and scripting
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mechanical and aerospace engineering, including but not limited to the fields of: Bioengineering Combustion and Energy Science Computational Science and Engineering Dynamics and Controls Systems Energy and
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior research scientist
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will analyze a series a mammalian fluids/tissue obtain associated with a study looking at the influence of Elderberry extracts on brain function. Qualifications The successful candidate will have a PhD
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of GeoEnergy Engineering at Heriot-Watt University’s Riccarton campus in Edinburgh. They will undertake dynamic flow simulation studies to gain insights into fluid flow and pressure propagation in the
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Computational Fluid Dynamics (CFD). This is an exciting opportunity to join a leading research group working at the intersection of AI, biomedical engineering, and cardiovascular medicine. CORE FUNCTIONS AI/ML
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investigate methods that eventually will automate crucial design steps. In addition, we are developing simulators (on various abstraction levels; using, e.g., Computational Fluid Dynamics) which enables us to