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work experience on the relevant field Proficient programming skills in C++, particularly in ML or artificial neural networks; knowledge of Python is a plus Knowledge of computational fluid dynamics and
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computational fluid dynamics and its application in electrochemical devices; familiarity with OpenFOAM is advantageous First experience in interdisciplinary projects with an open-minded and flexible work ethic A
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The Multiscale Modeling of Fluid Materials group at the Technical University of Munich is looking for talented and ambitious scientists interested in unique interdisciplinary research, integrating
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
collaborators – computational models and genetic engineering to elucidate the dynamic feedback between cilia mechanics and neuronal signaling. Due to the exploratory and interdisciplinary nature of the project
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Carl von Ossietzky University Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 2 months ago
more than 12 months in the last 36 months. The successful candidate is required to have: aptitude and willingness to pursue a PhD that combines numerical and analytical modelling in fluid dynamics knowledge
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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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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