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media where the large proportion of interfaces and the finite amount of matter lead to remarkable properties. The systems studied share the common feature of exhibiting heterogeneities at the nanometric
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of developing novel computational frameworks that seamlessly integrate machine learning techniques with established methods in computational mechanics, such as the Phase-field Finite Element Methods. Potential
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on physics-based computational modelling. Key activities include crystal-plasticity-based finite-element (CPFE) simulations, unit-cell and microstructure-resolved models, and the development of modelling
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/or dynamic analysis of mechanical/robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the-loop
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tasked with developing and implementing new efficient numerical methods for high-frequency wave propagation problems in the finite element open-source software FreeFEM developed at Laboratoire Jacques
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of the position. The successful candidate will have a solid theoretical foundation in one or more of the topics: Computational Mechanics, Finite Element Analysis (FEA), Numerical Optimization
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mechanics, FEA, CFD, or equivalent field. Proficiency in one or multiple finite element analysis software (e.g., ABAQUS, LS-Dyna, ANSYS), and in computational fluid dynamic software (e.g., Fluent, CFX
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(including, but not limited to, phylogenetic analysis, morphometrics, or finite elements modelling) are expected. Extensive participation and / or experience in leading fieldwork is expected. The successful
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Control Finite Element Analysis (FEA) Additive Manufacturing (3D Printing) Sustainable Manufacturing and Engineering Materials Design and update module content aligned with industry developments
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, solid mechanics, and mechanics of materials Experience from numerical simulations, preferably finite element analysis Excellent written presentation skills and oral English language skill PLEASE NOTE: For