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://doi.org/10.54499/2023.11234.PEX , funded by national funds through FCT/MECI, under the following conditions: Scientific Area: Machine Learning applied in Applied to Fluid Dynamics Simulation Admission
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and disadvantages). Literature review of computational fluid dynamics for viscoelastic fluids. Development of new elasticity models (generalization of integral and differential operators) and new
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the following pdf documents: - Motivation letter; - Copy of certificates evidencing academic degree (referring to the classification of each separated or integrated degree); - Detailed Curriculum Vitae
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cgsilva@fe.up.pt and to recursoshumanos@fe.up.pt , clearly stating the reference BI-FEUP-LSRE-LCM_CIVITAS_Materials and including the following pdf documents: Motivation letter, Copy of certificates
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corrosion simulations; Adjustment of simulations for various scenarios, including multiple towers and laboratory models; Analysis of virtual acceleration signals; Processing using artificial intelligence
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Researcher will contribute to the following project work: Performing simulations of internal combustion engines (particularly the Nissan HR10DDt engine) using ANSYS Forte software, fueled with 100% E5 fuel and
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miguel.castro@fe.up.pt and recursoshumanos@fe.up.pt , clearly stating the reference FEUP-(FEUP-R2U-IPD5) and including the following pdf documents: Motivation letter, Copy of certificates evidencing academic
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the following pdf documents: Motivation letter, Copy of certificates evidencing academic degree (referring the classification of each separated or integrated degree), detailed Curriculum Vitae; and other
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stating the reference FEUP - BH-IA/2025 and including the following documents: - Motivation letter, - Copy of certificates evidencing academic degree (referring the classification of each separated
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formalized by email to lda@fe.up.pt and to recursoshumanos@fe.up.pt , clearly stating the reference FEUP_SmartCityDet and including the following pdf documents: Motivation letter, Copy of certificates