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amplifiers; - Evaluating/simulating the electrical behavior of electromagnetic structures; - Behavioral modeling of nonlinear electronic circuits and/or devices; - Application of signal processing tools
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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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linearity, this work aims to carry out a set of simulation experiments of different amplifier architectures to determine the performance of those architectures. This work will begin with learning the basic
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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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- Refª-BL-37-2025", accompanied by the following documents: Curriculum Vitae, copy of certificate of qualifications and other supporting documents that the applicant considers relevant for the application
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with the conditions set out in this Notice, namely: a) Curriculum vitae; b) Motivation letter, indicating willingness to start the work programme; c) Copy of the certificate(s) of the required
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the admission requirements, including language knowledge and research experience). Copy of the certificate(s) of qualifications conferring academic degree in the terms requested in the notice, which contain
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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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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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documents: CV, motivation letter, copy of academic records/certificates* and proof of enrollment in a MSc program (At the time of the application, the proof of enrollment may be replaced by a Declaration of