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Field
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include the design and implementation of finite element multiscale models and machine learning algorithms, analyzing related experimental data, and collaborating with industrial collaborators to validate
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(variational multiscale, multiscale finite elements, etc.), structure preserving numerical methods, stochastic optimization, analysis of machine learning methodologies, multilevel methods, scale-bridging and
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finite-element simulation and topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks above, the
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on experimental data. Main responsibilities Pursue your own research related to the project. Develop and implement material models, finite element codes, and calibration procedures. Disseminate research through
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models using experimental data for precise mapping of real processes Conducting detailed analyses of thermomechanical stresses in electrochemical converters using the finite element method (FEM
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with finite element modeling (FEM) and computational simulations. Microfabrication & Electrical Characterization: cleanroom fabrication and electrical testing of nanodevices. What We Offer: A dynamic
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appropriate for PhD age. Experience of electrical characterisation, and knowledge of at least a few of the following: dual-configuration van der Pauw, finite element simulations of electrical properties
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merging time-domain Finite Element Analyses for the structure and subgrade with a vehicle model. The focus will be on incorporating accumulation models for ballast and subgrade that incorporate (cyclic
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mechanics with solid knowledge of continuous mechanics and numerical methods. Good programming skills in in-house finite element tools are required (Applicants having used software they did not (contribute
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computational techniques, including finite element modeling, phase field modeling, ab initio calculations, and molecular dynamics simulations. Complementary experimental work such as microscopy and