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sound background in geophysical fluid dynamics, experience in numerical ocean or atmospheric modelling, and experience with numerical data analysis. Good scientific presentation, writing, and
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methods (LBM). For fluid simulations, we utilize the high-performance LBM framework waLBerla, predominantly written in C++, but increasingly adapted for GPU computations through automatic code generation
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nanobubble-inducing shockwave is a powerful tool for ablating vitreous opacities in vivo. In solar energy utilization, direct steam generation/vapor production from bulk or surface fluid surface is a promising
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and simulation aspects across a wide range of fields - from biomechanics and geophysics to polymer-fluid coupling. Further areas of interest include numerical algorithms for high-dimensional problems
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messengers transported by the flow or even the pressure of the fluid itself. In an interdisciplinary team, you will either develop theoretical models of the feedback between flow and network architecture
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that eventually will automate crucial design steps. In addition, we are developing simulators (on various abstraction levels; using, e.g., Computational Fluid Dynamics) which enables us to validate designs
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context. The project is carried out in cooperation with the TUM Chair of Flight System Dynamics. The work is based on existing research results such as a GPU-based Lattice-Boltzmann solver and a modular
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of finite element or finite volume methods for coupled problems in one of the application areas of the group (fluid mechanics, semiconductor device simulation, electro-chemistry). Expected
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fluids, design novel numerical simulation and optimal control schemes, and provide new means for risk management. This project mainly focuses on the analysis and optimal control of the underlying SPDE and
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simulators (on various abstraction levels using, e.g., Computational Fluid Dynamics) which enables us to verify designs of microfluidic devices even before the first prototype is fabricated. Fabrication: We