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functional rehabilitation strategy in patients who have undergone facial paralysis or face transplantation. Personalized finite element models have been commonly developed from medical imaging to investigate
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24 months, expiration date 16th april 2026 at 1:00 pm Where to apply Website http://www.unipi.it Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows
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skills in Python, MATLAB (including Simulink), C/C++, or similar languages are required. Understanding of 3D modelling methods (finite volume and/or finite element approaches) and experience with state
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the rejection of the application. Programming skills in Python, MATLAB (including Simulink), C/C++, or similar languages are required. Understanding of 3D modelling methods (finite volume and/or finite element
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command of a scientific programming language (Python, MATLAB, or similar tools) is expected. Experience in numerical modelling (finite differences, finite elements, etc.) is recommended. Additional
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Engineering, or a related field Strong background in solid mechanics, lightweight structures, or composite materials Strong written and verbal communication skills in English Experience in finite element
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interfaces Implement models in finite element frameworks and validate them experimentally Develop your own scientific ideas and communicate results through publications and presentations Contribute to teaching
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of their operating conditions make it challenging to predict component health under poorly represented or previously untested conditions. Modern prognostics approaches rely either on physics-based models or on data
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. The post holder will contribute to the development and validation of multi-scale finite-element analysis tools to predict the progressive damage evolution in composite materials, subject to a variety of
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related discipline), possess a solid knowledge of finite element modelling, and have a strong experience in developing patient-specific biomechanical computational model. Ensuring the achievement