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of Electrical Engineering or related areas. - In addition, the candidate should demonstrate solid knowledge in electric power systems and in the development of optimization algorithms and intelligent systems
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Engineering or related fields. - A solid background in electric power systems is required, as well as experience in the development of optimization algorithms and intelligent systems. - The ability to apply
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addresses the need for data-driven and hybrid modeling approaches that combine physics-based knowledge with artificial intelligence (AI) algorithms for accurate, interpretable, and robust health state
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scholarship holder will contribute to several research activities, including: - Design and implementation of event-based data compression algorithms, including lossy and learning-based approaches. - Development
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-content/uploads/2025/02/Tabela_valores_SMM_2025.p… SCIENTIFIC SUPERVISION The activity will be supervised by Nuno Neves, Researcher at INESC ID. WORKPLACE - INESC ID - Headquarters Rua Alves Redol, 9, 1000
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Bolsas de Investigação da FCT, I. P., aprovado pelo Regulamento n.º 234/2012 de 25 de junho de 2012, alterado e republicado pelo Regulamento n.º 326/2013 de 27 de julho de 2013 e alterado pelo Regulamento