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, including gas turbines and combustion engines. We combine advanced computational fluid dynamics, theory, machine learning, high-performance computing, and experimental methods to investigate and model complex
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researchers with cutting-edge expertise in combustion science, chemical kinetics, fluid dynamics, and digital modeling, preparing them to revolutionize industrial energy systems and accelerate Europe’s energy
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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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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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. The Department covers a wide breadth of topics, from mantle and lithosphere dynamics on Earth and other planets, via surface processes in the boundary layers between Earth’s surface and atmosphere, to the dynamics
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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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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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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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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
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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