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-quality validation module based on optical detection and light-profile analysis. The candidate will define quality metrics, implement monitoring systems using cameras and sensors, and develop computer
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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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of the LTFP. In accordance with articles 22.º, n.º 3 and 4 of the Regulation and 13.º of the RJEC, the Recruitment board is composed as follows: President: Prof. Dr. João Paulo da Silva Catalão Member: Prof. Dr
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(cameras, lighting, sensors) and the development of edge computing solutions to detect deviations and process failures. The plan also includes validation and testing activities in a pilot environment
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integration between mechanical components, actuators, sensors, and control systems. The candidate will participate in all stages of the project, from the design and definition of the automation architecture
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developed at the Department of Chemical and Biological Engineering of the Faculty of Engineering of the University of Porto (FEUP), under the scientific supervision of Prof. Adrián Manuel Tavares da Silva
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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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until the time of signing the contract. Activity Outline: Grant holders will work on the following topics TASK 3: Empirical Analysis of Deep Learning and Generative Modeling Algorithms TASK 4: Development
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13 (5 points); Bachelor Degree classification lower than 13 (2 points); B. Knowledge of Cyber-physical Systems, Automation, CAN Communication Protocol, Machine Learning, AI, Sensor Networks
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classification lower than 13 (2 points); B. Knowledge of Cyber-physical Systems, Automation, CAN Communication Protocol, Machine Learning, AI, Sensor Networks, Hierarchical Decision and Control Systems with main