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dynamics, kinematics, acoustics/vibrations, fluid–structure interaction, control, or other mechanics-driven domains. Experience with applied computational methods and machine-learning–based modeling
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Number: 30818 Posting Number: S06736P Job Description: The Flow Dynamics and Turbulence (FDT) Laboratory, within the Department of Mechanical Engineering at the University of Texas at Dallas, invites
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validation of the numerical model. Candidates should be holding a MSc degree in Engineering (or equivalent), with demonstrated experience in computational fluid dynamics (CFD), preferably in hydraulic
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Summary Join the dynamic Custodial team and help support MSU's mission of advancing knowledge and transforming lives! You'll use top cleaning methods, equipment, and standards in a collaborative, growth
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doctoral thesis focused on geophysical fluid dynamics and dynamic systems. Functions to be developed: Conduct computational experiments, simulations and analysis of climate data to study fluid dynamics
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fluid dynamics and heat transfer to study multiphase flow phenomena. The goal is to integrate theoretical and experimental fluid dynamics with modern computational tools to analyze and predict multiphase
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the dynamics and statistics of topological defects in active systems, using continuum theories of active ordered states. This project will require both numerical and analytical work. The position will be based
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., geophysical fluid dynamics) and general marine sciences. A PhD (or equivalent) in physical oceanography or a closely related field is required. Successful candidates are expected to have an excellent research
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with chemical institutes of the Academy of Sciences of the Czech Republic, covering physical chemistry, biophysical chemistry, and chemical physics. Modern areas include dynamics and kinetics of physical
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), renewable for 4 years. Informations Only applications submitted through the online platform are considered: https://careers.epfl.ch/job/Lausanne-PhD-positions-Experimental-unsteady-fluid-and-vortex-dynamics