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. Knowledge of fluid mechanics, computational mechanics, mathematical modelling, numerical methods, or medical image analysis is considered an advantage. Experience with experimental fluid mechanics, laboratory
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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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for your students, your research, and society at large. The Division of Fluid and Experimental Mechanics within the Department of Engineering Sciences and Mathematics conducts research and teaching in
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We are looking for a researcher, whose expertise lies in computational fluid mechanics and finite element methods, to work with Matthew Hubbard and Reuben O’Dea on a Wellcome Trust funded project
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, and industrial partners, will provide interdisciplinary training spanning chemical and mechanical engineering, computational fluid dynamics (CFD), experimental combustion diagnostics, and techno
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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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engineering, applied physics, applied mathematics, or a closely related field. At least two years of postdoctoral or equivalent post-Ph.D. research experience in fluid mechanics, acoustofluidics, multiphase
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experimental methods in thermal and fluid mechanics, including data analysis, uncertainty estimation, and model validation, is desirable. Familiarity with optical measurement techniques in fluid mechanics and
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engineering, preferred scientific specialization: fluid mechanics • well-organised person with a proven ability to work independently, • skilled in design, analysis and experimental research of hydraulic
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vessels, sealing systems, high-pressure fluid systems, and mechanical testing fixtures. To Apply: Applications must be made online at https://yourfuture.sdbor.edu . South Dakota Mines is committed