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until the time of signing the contract. Activity Outline: Grant holders will work on the following topics TASK 3: Empirical Analysis of Deep Learning and Generative Modeling Algorithms TASK 4: Development
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the contract. Activity Outline: Development of urban mobility studies, namely through literature review and data analysis with a view to scientific publication. The use of statistical software (R or similar) is
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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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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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, and any formalities established there must be fulfilled until the time of signing the contract. Activity Outline: The recruitment of this research position aims at the development of R&D work for the
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for applications for a research grant within the framework of the SmartCityDet - Advancing Deterministic Services in Smart City Infrastructures, with nr. 14795, operation code at the Funds Platform
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of Scientific Research Fellow) and and Regulation of Research Grants of University of Porto. Workplace: The work will be developed at the Department of Civil and Georesources Engineering of the Faculty
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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