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Field
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executing Machine Learning and Data Science tasks associated with the construction of the Business Analytics for Manufacturing laboratory prototype. The evaluation of the work carried out will be verified
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the aeroelastic behavior of the full-scale model in the reduced scale prototype. Optimization techniques, such as topology optimization for additive manufacturing and aerodynamic shape optimization to control
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to answer the following research question: What factors influence the adoption of additive manufacturing technologies among small and medium enterprises (SMEs) in the manufacturing sector for equipment
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of PLA filaments reinforced with natural fibers; • assembly and testing of a filament extruder; • preliminary tests for the manufacture of filaments reinforced with natural fibers. • preparation
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of Innovation and Technology (EIT) Manufacturing, a body of the European Union, under the Horizon Europe Programme, under the following conditions: Scientific Area: Electrical and Computer Engineering, Computer
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and monitoring licensing contracts and defining and implementing open source software strategies.; Managing industry-institution-researcher interaction. Support for structuring business models
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) Scientific production and its relevance to the thematic area of Ruminant Production, Animal Welfare and the Meat Industry in which the position is opened; a2) Participation and coordination of research
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Engineering. In Digital and Intelligent Industry research lab (DIGI2), of the Systems and Technologies Research Centre (SYSTEC) of the Faculty of Engineering of the University of Porto, under the scientific
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Engineering. In Digital and Intelligent Industry research lab (DIGI2), of the Systems and Technologies Research Centre (SYSTEC) of the Faculty of Engineering of the University of Porto, under the scientific
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Engineering. In Digital and Intelligent Industry research lab (DIGI2), of the Systems and Technologies Research Centre (SYSTEC) of the Faculty of Engineering of the University of Porto, under the scientific