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their dynamics and functionality. Capture the nonlinear dynamics of these networks using theory and numerical tools e.g. finite-element modelling or discrete mechanical modelling. Explore
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ability to collaborate with field-based glaciologists and seismologists. • FEM Tools: Strong skills in the finite element method. Practical experience with Elmer/Ice and/or GlaDS is a plus. • Data
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 22 days ago
Engineering, Computational Science and Engineering, or a closely related discipline Strong background in mechanics and finite element analysis Experience with topology optimisation and/or inverse design
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | about 1 month ago
subsurface erosion in geothermal wells and dikes with advanced finite element models calibrated through small- and medium-scale laboratory experiments. It investigates the effects of soil properties, flow
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Laboratoire Modélisation et Simulation Multi Echelle UMR 8208 | Créteil, Île-de-France | France | about 2 months ago
• Strong skills in numerical simulation and computational modeling • Knowledge of finite element methods and/or computational fluid dynamics • Experience with image-based modeling, µCT or 3D image
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<span lang="en"> Helmholtz-Zentrum Hereon</span> | Geesthacht, Schleswig-Holstein | Germany | about 19 hours ago
desirable
- knowledge of computational mechanics, finite element methods, crystal plasticity, phase-field modeling, or thermodynamic simulations is advantageous
- experience in analysis of
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in computational mechanics and finite element simulation and modeling; expertise in laboratory and multi-scale experimental testing at the material, component, and structural levels. The candidates
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PhD Studentship: Developing a Finite Element Based Model for Pellet Relocation in Nuclear Reactor Fuel PhD Studentships: An Investigation into the Interface Material Layer Created during Linear
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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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medical image processing, excellent Python programming skills, and prior experience training and evaluating neural network models (e.g. in PyTorch). Familiarity with biomechanics or finite-element