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Max Planck Institute for Mathematics in the Sciences | Leipzig, Sachsen | Germany | about 17 hours ago
analysis" led by Theresa Lange . The group investigates the interplay between randomness and convection in fluid flows. For this work, we are looking for a PhD Student. You will work on rigorous analysis
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on the flow in soap films and will help us better understand how surface viscosity affects foam drainage, bubble coalescence, and the aging of fluid interfaces. Where to apply Website https://emploi.cnrs.fr
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for the turbomachinery design optimization process conducted by a parallel PhD student at LMFA. The numerical solver involved is ProLB. It is an innovative Computational Fluid Dynamics (CFD) software solution developed
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must hold a Masters’ degree in fluid mechanics, physics or applied mathematics and have a good knowledge in fluid dynamics, with an interest in experiments and turbulence. Application process: Applicants
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/ plasma research are preferred. Knowledge of computational fluid dynamics is a plus. Strong organisational and communication skills are expected in order to facilitate interaction with several external
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detection by mass spectrometry, by combining molecular dynamics simulations and experiments (Figure 1).1-5 The present PhD thesis will investigate the effects of additional specific ions in fluid samples
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. This PhD project will investigate how biofouling affects the hydrodynamic, thermal and fluid-structure interaction performance of dynamic flexible cables and develop novel engineering solutions to enhance
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will join the growing team of researchers on the ERC project CONTEXT, working at the intersection of scientific machine learning and fluid dynamics, under the supervision of Anh Khoa Doan. You will also
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accuracy is still limited. In contrast, computational fluid dynamics (CFD) models can capture the arc physics and molten pool dynamics, including arc energy transfer and liquid metal convection within
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Engineering, Chemical Engineering, Applied Physics, or a related field. A strong foundation in (multiphase) fluid dynamics. Proven experience with experimental work and a drive to explore and improve state