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- 
                Field
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                allowed computational fluid dynamics (CFD) to flourish, becoming an indispensable for many industries. Simulating the full Navier-Stokes equations is computationally prohibitive for most applications, so 
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                to electrochemisty and electromagnetics. Interface tracking/capturing methods such as immersed boundary method, level-set method, volume-of-fluid, phase filed method are options for model development. 
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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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                mechanics, and analytical and numerical methods to solve partial differential equations. Excellent oral and written communication skills. Prior experience in computational fluid dynamics or active matter will 
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                topic of atmosphere-lithosphere interactions involving volatile elements in rocks, fluids and silicate melts under the exotic Pressure-Temperature-Composition parameter space covered by exoplanetary 
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                the interaction between the structure of CFM and dynamic performance of the flow. The aim will be achieved through the following objectives: Develop a novel approach to investigate the fluid-solid coupling effect 
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                interested in a PhD or postdctoral fellowship in a field related to Computational Fluid Dynamics, please do contact me at b.fraga@bham.ac.uk to prepare your application. 
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                . Master students can apply provided they complete their final master exam before January 2026. It is a condition of employment that the master's degree has been awarded. A documented background in fluid 
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                modelling and behavioural science. The first part will be based on the use of Computational Fluid Dynamics (CFD) to diagnose the air quality of indoor spaces where people live and work (presence of pollutants 
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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