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has vibrant and active research programs in all areas of aerospace engineering and mechanics, including computational solid mechanics, fluid dynamics, hypersonics, aerospace systems, and aerospace
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
, dynamical systems, and scientific computation. Ideal experimentalists will have strong skills in experimental fluid mechanics, including laboratory design, high-speed imaging, flow visualization, and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
, or similar platforms for thermal and fluid dynamics simulations. Strong programming skills in MATLAB, Python, R, or similar. Machine learning or data-driven modeling experience applied to environmental control
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methods and activities. Qualifications A doctoral degree or an equivalent foreign degree in the field of thermal and/or fluid energy engineering. This eligibility requirement must be met no later than
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
, present at scientific conferences, and contribute to collaborative proposals. Minimum Education and Experience Requirements Ph.D. in Oceanography, Fluids Dynamics, Mechanical Engineering, Applied
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research area: Python or C#, robotics, additive manufacturing, finite element analysis, or computational fluid dynamics. Experience in teaching and co-supervising thesis students at university level
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differential equations, computational fluid dynamics and material science, dynamical systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology
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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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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