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Field
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, Mechanical Engineering, or a related field. You have experience in finite element and constitutive modelling applied to geotechnical engineering, structural engineering, or construction materials. You have a
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Mesoscale and Multiphysics finite element modelling Good communicative skills and proficiency in English both in writing and speaking,as it is required in the daily work. Teamwork competence and collaborative
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feature spaces that can be linked to mechanical instabilities from patient derived data; finite element methods to model a variety of complex systems, geometries, and materials under different loading
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are essential. Knowledge of fire simulations as a plus. Skills of performing non-linear numerical analyses using general-purpose finite element analysis software particularly Abaqus are essential. Skills
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resistance of cold-formed steel structures are essential. Knowledge of fire simulations as a plus. Skills of performing non-linear numerical analyses using general-purpose finite element analysis software
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well as the physical and numerical modelling including the finite element modelling, confirmed by publications. Experience, confirmed by publications in conducting laboratory experiments and testing, including design of
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loading. The project combines computational mechanics, nonlinear finite element analysis and soil–structure interaction to address critical challenges in civil protection and societal resilience. Are you
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well as their initial characterization. WP2 – Thermal Expansion Computational Modelling: Develop finite element simulations using software such as COMSOL Multiphysics to investigate the influence of NTE additives in
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related field. Experience with finite element simulations and developing constitutive models. Knowledge of high temperature creep crack growth. Knowledge of engineering design codes such as the ASME Boiler
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modeling and simulation • Development in Finite element and alternative discretization methods (e.g. Lattice Boltzmann methods) • High-dimensional algorithms and high-performance computing