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electrical and Computers Engineering - Specialization in Automation - lower than 13/20 (1 point); B. Knowledge of Cyber-Physical Systems, Predictive Maintenance Systems, Automation, Machine Learning and
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. Knowledge of Control Systems, Mobile Robotics, Automation, Data Science, IoT and Machine Learning, as well as computational learning techniques, with application in the context of manufacturing systems
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Information Management, or related fields; Have basic knowledge of machine learning models in supervised and unsupervised learning tasks (i.e., k-nearest neighbours, Decision Trees, Neural Networks, Logistic
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of ecosystem degradation and the aforementioned extreme climatic phenomena; (v) explore a “Machine Learning” analysis to explore the importance of other environmental and managerial factors in the spatial and