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modelling with finite element methods of solar cell devices. Knowledge of some or all of the materials involved is an advantage. Specific Requirements Familiarity with SILVACO modelling of multijunction solar
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within the space between the grains). - Simulating mechanical behavior using, e.g., finite element methods. - Measuring mechanical performance at the sample scale. - Investigating mechanical behavior
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design and optimisation, with proven capability using finite-element and multiphysics tools such as ANSYS Maxwell/Workbench, Motor-CAD, JMAG, Altair Flux, and COMSOL. Demonstrated experience spanning
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: to design GaN power components with their integrated functionalities. In close collaboration with the project consortium, the different devices will be studied using 1D and 2D finite element analyzes (e.g
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apparatuses, free space and fiber optics, precision interferometry, quantum optics, analog and digital controls, low noise electronics, simulation and modeling, finite element modeling, and computer programming
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Structural Design, e.g. robust design under uncertainty and reliability analysis of full-scale wind systems, complementing established project activities in: multi-scale finite-element modelling
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hydrodynamic load and structural finite element model against experimental results, investigating uncertainties and sensitivities. Assess structural static and dynamic performance under 50-year return period
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
of the following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method (MPM), or advanced Finite Element Methods). Physical modeling of tunnel
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Electrode Assembly. J. Power Sources 2021, 512, 230431. https://doi.org/10.1016/j.jpowsour.2021.230431. ; [2] Carral, C.; Mélé, P. A Numerical Analysis of PEMFC Stack Assembly through a 3D Finite Element
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structure-preserving discretization algorithms (a refinement of finite-element analysis compatible with exact geometric, topological, and physical constraints) with artificial neural networks for achieving