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the OpenFOAM computational library Proven experience in developing numerical codes within the OpenFOAM computational library Proven experience in the simulation of the behavior and processing of polymeric
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i) the preparation of PHA formulations with the incorporation and dispersion of fillers through melt mixing processes, ii) thermal, rheological, and morphological characterization of the produced
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: Industrial Electronics and Computer Engineering - Control, Automation and Robotics Recipient category: Masters, enrolled in the course: Non-conferring degrees courses: is intended for R&D activities by
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completed by the application deadline will be required, including those resulting from academic degree recognition processes. Applicants enrolled in a non-degree-granting course: Candidates who, by entering
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-UNORTEII - Promotion of Health_UNorte: integrated approaches to prevent, monitor and treat cardiovascular, neurological, infectious diseases and cancer”, of the Center for Electromechanical Microsystems
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RE-C05-i08 do Programa de Recuperação e Resiliência, através da Fundação para a Ciência e a Tecnologia - FCT, nas seguintes condições: Scientific Area: Computer Engineering, Biomedical Engineering
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conditions: Scientific Area: Electrical Engineering, Electronics, and Computer Science Recipient category: Bachelor’s in Biomedical Engineering, Electronic Engineering, Computer Engineering, Mechanical
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from academic degree recognition processes. Preferential factors: a. Knowledge of developing artificial intelligence/machine learning (AI/ML) models and classifiers suited for embedded systems
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-C05-i08 of the Recovery and Resilience Program, through the Foundation for Science and Technology - FCT, under the following conditions: Scientific Area: Computer Engineering, Biomedical Engineering
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Bio-inspired controllers, AI and data for Real-Time Prevention”, operation code NORTE2030-FEDER-01179400, financed National Innovation Agency, S.A. (ANI), through the European Regional Development Fund