33 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" scholarships at FEUP
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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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/10.54499/2023.11234.PEX , funded by national funds through FCT/MECI, under the following conditions: Scientific Area: Machine Learning applied in Applied to Fluid Dynamics Simulation Admission requirements
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improve existing degradation models. T3 - combine computer vision and machine learning models to identify, delimit and classify the facades’ anomalies in photographs and thermal images; integrate the new
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within the framework of project “FiberNest XL - equipamento de corte a laser de fibra de grandes dimensões com auto-nesting”, with nr. 20436 and operation code at the Funds Platform (Balcão dos Fundos
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for one research grant within the framework of project ISA4RL - Integrating Instance Space Analysis with Auto-Reinforcement Learning for Adaptive Algorithm Selection and Configuration, with nº 15456, and
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the contract. Activity Outline: Research on real-time monitoring of tool and machining process performance, focusing on the integration of sensors within tool holders to collect continuous data on temperature
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within the framework of project “FiberNest XL - equipamento de corte a laser de fibra de grandes dimensões com auto-nesting”, with nr. 20436 and operation code at the Funds Platform (Balcão dos Fundos
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wording (Statutes of Scientific Research Fellow) and Regulation of Research Grants of Fundação para a Ciência e a Tecnologia, in force ( https://www.fct.pt/financiamento/programas-de-financiamento/bolsas
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Research Fellow) and Regulation of Research Grants of Fundação para a Ciência e a Tecnologia, in force (https://www.fct.pt/financiamento/programas-de-financiamento/bolsas/ ) and Regulation of Research
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of Fundação para a Ciência e a Tecnologia, in force (https://www.fct.pt/financiamento/programas-de-financiamento/bolsas/ ) and Regulation of Research Grants of University of Porto, in force. Workplace: The work