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computing environments. Experience with numerical modelling techniques, such as finite difference, finite element, or spectral element methods. Interest in inverse problem formulation and solving and/or
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) professional or academic experience in Machine Learning or finite element modelling. 5. Formalization of the applications: Applications are formalized through a request addressed to the Rector of Universidade do
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Engineering at NTNU, where computational mechanics, advanced finite element modelling, and artificial intelligence meet. As a PhD candidate, you will work at the forefront of nonlinear simulation, contributing
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constrained-mixture (finite element) models for cardiovascular tissues towards simulating cartilage G&R. You will then simulate cartilage microtissues growing inside engineered, confining microenvironments and
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. Proficiency in programming languages like Python and MATLAB is essential. Practical experience in data science, predictive analytics, finite-element modelling, structural analysis, and/or offshore structures is
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or replace established methods from computational engineering and computer simulation (such as the finite element method and constitutive materials models) to represent and exploit relationships along
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modelling workflow, linking micro-scale 3D finite element simulations and numerical homogenisation of metamaterial unit cells to meso-/macro-scale structural models capable of delivering accurate stress
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materials, device designs, and operational modes for these bioelectronic implants. You will also develop and validate finite element models (COMSOL Multiphysics) to support the experimental work. The work is
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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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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