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Research Engineer in Quantum Computing for Computational Fluid Dynamics for the Division of Computational Science and Technology. You will contribute to research on new computational methods for fluid
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of computational fluid dynamics (CFD). Mastery of applied mathematics and numerical methods. Resolution and discretization of partial differential equations (PDEs) and the algorithm applied to the simulation
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support the optimization of hydrogen storage systems. · PhD in fluid mechanics, energy engineering, chemical/process engineering, or related field · Strong background in Computational Fluid Dynamics (CFD
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and ecological impact Experience with Experimental or Computational Tribology, Computational Fluid Dynamics and/or data analysis is desirable Excellent written and spoken English An enquiring and
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the field of fluid mechanics, multiphase flows, thermodynamics and heat exchange, laser measurement techniques, machinery dynamics, tribology and diagnostics of energy production machinery. The thematic
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 13 hours ago
interests, these may include bioaerosol sampling, aerosol instrumentation, particle characterization, airflow measurements, computational fluid dynamics, and mathematical or mechanistic modeling
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: Minimum qualifications: Completed a doctoral degree in atmospheric science, climate science, fluid dynamics, or a related field at the time of appointment. However, we will seriously consider any
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the field of fluid mechanics, multiphase flows, thermodynamics and heat exchange, laser measurement techniques, machinery dynamics, tribology and diagnostics of energy production machinery. The thematic
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 4 hours ago
to, sustainable aviation, aerodynamics, flight control/simulation/autonomy, aeroacoustics, fluid mechanics, aircraft design, aircraft propulsion, aircraft materials/structures, or aircraft manufacturing. We seek
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to apply. Applicants who complement existing Duke MEMS strengths in aeroelasticity and unsteady aerodynamics, experimental and theoretical fluid mechanics, nonlinear dynamics and stability, and control