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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
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, statistics or fluid dynamics Excellent knowledge of statistics Proven knowledge of Python, R, Matlab or a similar programming language Experience with Linux/UNIX environments Excellent oral and written
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mechanics, structural dynamics, materials, and controls; and the aerospace sciences, particularly aerodynamics, aircraft design, hypersonics, propulsion, flight research using UAVs, and computational fluid
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. Knowledge of fluid dynamics and biochemical reaction dynamics is a bonus, but not necessary. What We Provide: A competitive compensation package, with comprehensive health and welfare benefits The opportunity
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involves the use of correlations available in the scientific literature and computational fluid dynamics (CFD) analyses to assess and refine aerodynamic efficiency. This research is conducted within a
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offers a rich, collaborative environment with mentorship from experts in both biological imaging and machine learning. Knowledge of fluid dynamics and biochemical reaction dynamics is a bonus, but not
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Engineering of the University Rovira i Virgili of Tarragona is looking for an outstanding and committed candidate for PhD studies in the field of computational and experimental fluid dynamics. PROJECT TITLE
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dispersion. Yet conventional Computational Fluid Dynamics (CFD) workflows rely on watertight geometric models and volumetric meshes that are slow, complex, and costly to produce. Within the POINT-TWINS project
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quantitative data analysis Interest in biomechanics, fluid dynamics, and related computational simulations Independent, structured, and solution-oriented working style Team player with strong communication
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independently and collaboratively in multidisciplinary academic and professional teams. Nice-to-haves: A background in structural dynamics and/or fluid–structure interaction. Proficiency in numerical modelling