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Field
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Despite significant advances in numerical techniques and computing hardware, the high computational cost of large-scale 3D computational fluid dynamics (CFD) modelling remains a major challenge. A
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differential equations, Excellent oral and written communication skills. Prior experience in computational fluid dynamics or active matter will be a big advantage, but we seek, above all, a willingness to engage
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, researchers at LadHyX, and by Romain Labbé, CEO of the company Phyling. The laboratory's working environment will enable the PhD student to interact with other PhD students specialising in fluid mechanics and
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palaeobiology, ecology, geology, and fluid dynamics to test the potential ecological adaptations of different arthropod morphologies that may have allowed them to dominate life in Earth’s oceans. We will develop
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deficiencies in the current understanding of indirect-noise generation, especially as it relates to hydrogen-fueled systems, Computational Fluid Dynamics (CFD) will be used. Initially, numerical analyses will
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physiological signal. This MSc by Research will investigate a fundamentally different question: “Can low-energy electrical measurements provide a reliable estimate of changing fluid volume within a cardiovascular
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Processes (https://simap.grenoble-inp.fr ) - is a multidisciplinary laboratory with more than 200 participants from chemistry, physics, materials and fluid mechanics. It is one of the leading laboratories in
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of fluid mud. The project combines mathematical model development, nonlinear dynamical systems analysis, turbulence modelling, and environmental fluid mechanics. The successful candidate will contribute
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PhD Student (f/m/d) | Engineering Crystallization and Precipitation Processes for Biopharmaceuticals
Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 3 days agoEngineering (Dr. Leif-Thore Deck) at the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg , Germany. The position is to be filled as soon as possible and is limited to four years
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computational fluid dynamics (CFD) simulations of blood flow through arteries and develop a cutting-edge super-resolution framework using convolutional neural networks (CNNs). The ultimate goal is to vastly