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the Faculty of Engineering of the University of Porto (FEUP), under the scientific supervision of Professor Cecília Maria Nogueira Alvarenga Santos do Vale and Doctor Araliya Mosleh. Grant duration: Initial
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of the candidates achieves a minimum final score of 16 points, the scholarship will not be awarded. Selection Jury: President: Professor Nuno Manuel Monteiro Ramos Effective member: Doctor Joana Fernandes Maia
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of doubt, the evaluation panel may demand any candidate to present documents proving those statements. False statements by the candidates will be punished according to the law. SUPPORTING DOCUMENTS
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must be formalized by email to lferras@fe.up.pt and to recursoshumanos@fe.up.pt , clearly stating the reference FEUP-iMAD_out and including the following pdf documents: Motivation letter, Copy
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 1 day ago
aims to propose and implement a top-down application-agnostic approach for the design, simulation, test, validation, and application of both medium (MV) and low voltage (LV) direct current (DC) solutions
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 12 days ago
desertification transitions in simulated data # Test precursor accuracy in remote-sensing data Your profile # Completed university studies (Master or Diploma) in the field of Physics, Applied Mathematics or related
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). 7. Workplace: The work will be carried out at CESAM – Centro de Estudos do Ambiente e do Mar/ Department of Chemistry of the University of Aveiro, under the scientific supervision of Professor/Doctor
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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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/bolsas/docs/RegulamentoBolsasFCT2019.pdf ); Regulamento n.º 522/2020, publicado em Diário da República, 2ª série, n.º 113, de 12 de junho - regulamento de Bolsas de Investigação do Instituto Politécnico
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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