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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
chemistry and process engineering. We are looking for talented people to join us. In this project, neural operators are combined with classical numerical methods to enable the efficient approximation and
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A funded PhD position at SDU Physics - Interdisciplinary research within experimental soft matter...
involves maintaining cell cultures and working with optical microscopy and micro-fabrication, as well as some numerical modeling. During the PhD study you will also be engaged in teaching and outreach
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applied mathematical modelling machine learning multi-fidelity modelling numerical methods. Demonstrated programming ability (MATLAB/Python/C++) and enthusiasm to learn PyTorch. Previous experience in one
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detailed information on local deformation mechanisms at the microscale, while numerical simulations and data-driven approaches will enable the development of predictive models capable of linking
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fluid dynamics and/or magnetohydrodynamics, in addition to excellent numerical skills. The post-holder will also play a key role in the dissemination of the results from this project, so excellent verbal
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Engineering or Material Science. An MSc degree in relevant subject area will constitute an added advantage. The successful candidate will be highly numerate and quantitatively driven, with working knowledge
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(FLICE) technique. .-Numerical simulation (CFD) of Newtonian and non-Newtonian fluid flows in the developed microdevices. .-Characterization of Newtonian and non-Newtonian fluid flows using flow
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. Propose, develop, and test enhancements (e.g., shock-capturing strategies or improved numerical schemes). 3. Idealized supersonic flow simulations: Using the optimized code, conduct idealized simulations
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and with the 2AT team at Institut Pprime to develop a shape-optimisation tool based on resolvent analysis, applied to landing-gear aeroacoustics The researcher will develop a numerical methodology based
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evaluation of modal-decomposition techniques applied to data from high-fidelity numerical simulations of landing-gear aeroacoustics. The researcher will develop and implement modal-decomposition methods using