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and carry out finite element method (FEM) simulations. Our developments focus on higher efficiencies, more cost-effective manufacturing processes and materials, improved long-term stability and new
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of new EEG and MEG neuroimaging and mc-tCS simulation approaches based on realistic head volume conductor models using modern finite element methods as well as sensitivity analysis. The new methods will be
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neuroimaging and mc-tCS simulation approaches based on realistic head volume conductor models using modern finite element methods as well as sensitivity analysis. The new methods will be applied in close
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or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along the composition-process-structure-property
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the finite element method) to represent and exploit relationships along the composition-process-structure-property-performance chain; therefore, enable stability and control of novel manufacturing
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the processing behavior of fiber reinforced polymer composite materials Development and further enhancement of material characterization and finite element-based simulation methods Material modeling for fiber
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of the (computational) mechanics of solids and the finite element method and/or spectral solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux
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Some experience with numerical simulations such as the Finite Element Method (FEM) and Multi-Body Simulation (MBS) is a plus. We offer: a fascinating understanding at mobility in general with a
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Engineering or a comparable subject Good programming skills e.g. in Python or Fortran are advantageous Initial experience in FEM (Finite Element Method) simulation tools e.g. ABAQUS or ANSYS Good analytical
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Python and/or object-oriented programming Basic knowledge of the theory and methods in the Finite Element Method (FEM) or similar methods is advantageous Good language skills in English, German is