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measurements, and load measurements. Proficiency in computational methods, such as finite element analysis (FEA) and computational fluid dynamics (CFD). Experience with data acquisition and analysis using
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arising from solid/fluid dynamics/geomechanics, and numerical methods for partial differential equations, especially finite difference methods and finite element methods, both theory and applications. A
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programming skills and finite element (FE) analysis experience is a requirement. Knowledge of machine learning, Matlab and Abaqus is also highly desired. Previous experience with parametrization and automation
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a great potential for ultra-high-speed wireless communication, with data rates far surpassing those of current 5G systems. We are currently hiring a post-doc with expertise in finite-element
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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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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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Element Analysis for thermo-mechanical fluid-structure interaction analysis. Ability to demonstrate good collaborative skills, including the ability to work well with other divisions, laboratories, and
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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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. Ability to perform finite element simulations using software such as COMSOL, ANSYS, or ABAQUS. Experience in utilizing these tools for in-depth analysis is highly desirable. Required License/Registration
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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