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-of-the-art deep neural networks for musical audio, with special focus on timbre analysis and manipulation.; - Identify and implement approaches for explainable ML models.; - Cooperate in writing scientific
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the application and development of concepts and techniques in the area of Software Engineering which are usually introduced in curricular units included in the curricula of the Mestrados Integrados em Engenharia
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awarded to students who are enrolled in non-award courses, or up to four years, in the cases of students enrolled in a PhD. Scientific advisor: João Tiago Paulo Workplace: INESC TEC, Braga, Portugal
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awarded to students who are enrolled in non-award courses, or up to four years, in the cases of students enrolled in a PhD. Scientific advisor: Tânia Esteves Workplace: INESC TEC, Braga , Portugal
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validate the tools identified and/or developed, using as a reference case the remote training of grid operators in operational scenarios for power networks with a high penetration of renewable energy—one
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-time computational simulation in operating scenarios for power networks with a high penetration of renewable energy—one of the services to be offered by the collaborative laboratory currently under
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neural networks, enabling us to estimate the reliability of a single decision of this algorithm. Regarding generalisation, recent self-supervised learning paradigms have strong synergies with the multi
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and techniques in the area of Software Engineering which are usually introduced in curricular units included in the curricula of the Integrated MSc in Informatics Engineering or the MSc in Informatics
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and development of concepts and techniques in the area of Software Engineering, which are usually introduced in curricular units included in the curricula of the Integrated MSc in Informatics
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on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - experience in em Agile, DevOps, Arquitectura de Software e Cloud Computing. Minimum