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                Employer- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
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                , ensuring their relevance, scalability, and reusability. In parallel, the fellow will support the implementation of preliminary methodologies for constitutive parameter identification in Python, exploring 
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                parallel, a numerical model representative of the developed materials will be created. Work plan: The work plan foreseen for the research grant has been designed to support the experimental research 
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                . - Proven experience in image and text processing with Machine Learning techniques. - Proficiency in frameworks such as PyTorch and NLP libraries. - Knowledge of process parallelization and the use 
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