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                for a research grant within the framework of project “G2E – Gessos Eco-Eficientes” with nr. 17310 and operation code at the Funds Platform (Balcão dos Fundos) COMPETE2030-FEDER-01178600, co-financed by 
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                for one research grant within the framework of project “NRPCES - New replacement policy considering environment sustainability”, with nr. 19217 and operation code at the Funds Platform (Balcão dos Fundos 
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                within the framework of project “CIVITAS - Pontes entre Cidadania e Ciência para a Adaptação Climática em Comunidades da Região Norte”, with operation code at the Funds Platform (Balcão dos Fundos 
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                , therefore, for this reason and for reasons of interest of the institution, by means of a duly reasoned act, this selection process may be terminated until before notification of the selection minutes 
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                -financiamento/bolsas/ ). The payment will be made by bank transfer. Selection procedure: The curriculum of the candidates will be evaluated (60%) based on the merit of the candidate: a) Academic training (Master 
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                1 Oct 2025 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Computer engineering Computer science » Other Researcher Profile First Stage 
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                procedure: The curriculum of the candidates (60%) will be evaluated based on the merit of the candidate, and the following factors will be assessed: a) Academic training (Master in Civil Engineering 10 points 
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                5 Sep 2025 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile 
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                and operation code at the Funds Platform (Balcão dos Fundos) NORTE2030-FEDER-01198000, co-financed by the European Union through the NORTE 2030 Regional Program, of Portugal 2030, under the following 
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                ) processing, analysis and interpretation of the structural monitoring results of historical built assets using artificial intelligence techniques; ii) development of structural digital twins of historical built