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Field
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., Multiphysics finite element analysis, Matlab, Labview etc.) cleanroom experience, and characterization of electronic devices are required. Further, knowledge of system level integration and haptics
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methods in application to geomaterials and computational fluid dynamics. Experience in programming, as well as the physical and numerical modelling including the finite element modelling, confirmed by
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wearable systems. Knowledge of simulation tools (e.g., Multiphysics finite element analysis, Matlab, Labview etc.) cleanroom experience, and characterization of electronic devices are required. Further
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, Julia, MATLAB, or C++, and with machine-learning frameworks such as PyTorch, JAX, or TensorFlow, is desirable. Previous experience with finite-element, finite-difference, spectral, or iso-geometric
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corresponding numerical methods in computer codes. Experience with numerical methods for solving partial differential equations such as finite difference, finite element, and/or spectral methods. Ability to
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corresponding numerical methods in computer codes. Experience with numerical methods for solving partial differential equations such as finite difference, finite element, and/or spectral methods. Ability to
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scientific computing and experience with time-stepping methods and the finite element method (FEM), preferably applied to fluid dynamics, solid mechanics, or other moving-boundary problems. Prior
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multi-physics simulations using Finite Element Methods (FEM) for part qualification and quantification Demonstrated expertise in design and implementation of multi-physics codes for metal AM
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for Partial Differential Equations with emphasis on standard and non standard finite element methods with applications to wave propagation problems and nonlinear reaction-diffusion problems. Further
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electrolyser testing. Demonstrated knowledge/experience in some numerical methods such as lattice Boltzmann method, finite difference (element, volume) method, phase-field method. Demonstrated programming