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methodology for steel fibre reinforced concrete structures assisted by nonlinear finite element analysis and artificial intelligence tools”, project number 16782, code operation COMPETE2030-FEDER-00796500
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, viscoelastic, and damage-informed formulations) under complex thermo-mechanical loading. Implementing and validating models using computational tools (e.g., numerical solvers, finite element frameworks
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functions associated with the failure mechanisms using high-fidelity Finite Element Analysis. Perform sensitivity and uncertainty analysis to uncover the most significant variables in the derived limit states
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able to work collaboratively in a research team and communicate scientific results clearly. Previous experience with finite element software such as FEniCSx and/or machine-learning frameworks (JAX
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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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will include software for simulating electrical and power electronic circuits, finite element methods, and laboratory work using real-time simulators. Where to apply Website https://www.polimi.it/en
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Education & Experience: PhD Must be competent to model rail buckling, rail fracture, and failure of track structure due to moisture sorption using advanced finite element methods. Also, must be competent
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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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methodology for steel fibre reinforced concrete structures assisted by nonlinear finite element analysis and artificial intelligence tools”, project number 16782, operation code COMPETE2030-FEDER-00796500