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supported by own funds of the Faculty of Engineering of the University of Porto, , under the following conditions: Scientific Area: Reinforcement Learning, Machine Learning Admission requirements: Candidates
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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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-vision algorithms with edge-computing processing for the automatic detection of non-conformities. Machine-learning techniques will be applied to optimize cutting parameters, and the module will be
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