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Field
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background in Computational Fluid Dynamics, should be familiar with High Performing Computing, including coding in CUDA, and should have knowledge of C++, Julia and Python; d) Ability to work both
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King's College London Department of Engineering | London, England | United Kingdom | about 3 hours ago
fuel properties for various geographical regions. A multi-physics model of the fluid dynamic and combustion interaction of fuels based on the effect of moisture, fuel distribution and fuel obstructions
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simulation of reactive fluids, computational fluid dynamics) We particularly encourage applications from candidates with a computational background. What we offer Cutting-edge research in a dynamic work
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field. Research Field: Fluid dynamics, control engineering, or dynamical systems. Required Skills/Qualifications: Experience with experimental methods (laboratory setups, sensors, data acquisition
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD project within the framework of the ANR project
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systems and control theory. Knowledge of fluid dynamics and related physical modeling. Strong programming skills (e.g. Python, MATLAB, or similar) for data analysis and model development. Ability to work
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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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critical, to ensure expected engine performance is achieved. To predict this complex flow and heat transfer, next-generation Computational Fluid Dynamics (CFD) solvers using Large-Eddy Simulation (LES) and
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-chip (OoC) technology offer precise control over critical parameters such as fluid dynamics and mechanical stimuli that closely mimic in vivo conditions. This project aims to develop a vascularized liver
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relevant in the foreseeable future. In the practice, this implies ensuring that open-source solvers, developed in the academia for both solid and fluid dynamics, are able to use as an input domain any CAD