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; - knowledge and previous experience in discrete production modelling and simulation; - knowledge and previous experience in physical/robotics modelling and simulation; - knowledge of the circular economy
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higher education institution (In this situation, if the academic degree is foreign, recognition is requested) - The candidate must have some experience/knowledge in implementing Ontology-based models
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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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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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domain knowledge in 4 core application domains, for which reliable AI methods are most urgently needed: medicine and healthcare, robotics & interacting systems, algorithmic decision-making, and learning