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Engineering or Industrial Engineering and Management) - 10 points; Others Masters – 2 points) b) Experience in applying machine learning algorithms, data preparation, normalization, feature selection, and
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for this grant: Requirement 1: - Be a student enrolled in a doctoral program in the area of Materials science, Machine Learning computational science, Coating and surface engineering a requirement to be duly
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of Fundação para a Ciência e a Tecnologia, in force and Regulation of Research Grants of University of Porto. Work place: The work will be developed at Department of Informatics Engineering, in Digital and
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of Research Grants of Fundação para a Ciência e a Tecnologia, in force and Regulation of Research Grants of University of Porto, in force. Work place: The work will be developed at the Department of mechanical
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a Ciência e a Tecnologia, I.P. /MECI through the national funds, under the following conditions: Scientific Area: Chemical Engineering – Product Engineering Admission requirements: Candidates who
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the Sustainability of Raw Materials Industry” with the reference ERA-MIN3/0002/2023 with e DOI 10.54499/ERA-MIN3/0002/2023 (https://doi.org/10.54499/ERAMIN3/0002/2023 ) funded by the Fundação para a Ciência e a
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of Fundação para a Ciência e a Tecnologia, in force and Regulation of Research Grants of University of Porto, in force. Workplace: The work will be developed at the Department of Chemical and Biological
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August, in its current wording (Statutes of Scientific Research Fellow) and Regulation of Research Grants of Fundação para a Ciência e a Tecnologia, in force and Regulation of Research Grants
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within the framework of project “Health24towers: Investigação, desenvolvimento e validação de dispositivos de monotorização inteligente e preditiva para Infraestruturas de Telecomunicações”, with nr. 17429
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within the framework of project “Health24towers: Investigação, desenvolvimento e validação de dispositivos de monotorização inteligente e preditiva para Infraestruturas de Telecomunicações”, with nr. 17429