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to polymer-fluid coupling. Further areas of interest include numerical algorithms for high-dim. problems, classical (mainly finite elements, FEM) as well as alternative discr. meth. (e.g., Lattice Boltzmann
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from computational engineering and computer simulation (such as the finite element method and constitutive materials models) to represent and exploit relationships along the composition-process-structure
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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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of the finite element method is an advantage Proven record of publications in recognized international scientific journals Excellent English communication skills (written and oral); German language proficiency is
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reinforcement tasks to work with, enhance or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along
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obtained in experiments, Be part of change Theoretical calculations of the effect of centrifugal forces on the clamping Simulate clamping conditions using the Finite Element Method (FEM) with Ansys
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element method and/or spectral solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux operating systems Structured and analytical
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Master's thesis on the development of a forecasting tool using AI in the field of welding technology
processes Programming experience, ideally in Python Knowledge of finite element methods or AI models is an advantage Structured, independent working style and ability to work in a team What you can expect A
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like coding. In this project, Julia and C++ will be utilized. • You have experience in and like implementing Finite Element routines. • You have very good English language skills. German language
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, knowledge about finite-element analysis is an absolute must . Familiarity with iterative solvers , preconditioners , multigrid methods , and mixed-precision approaches is optional but extremely useful. We