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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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individuals that make up our community and embraces the opportunity to learn from both our differences and similarities. CPTC values equity and respect. We seek to create an environment of innovation and
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eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please contact the NRC
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years of experience in Academic Librarianship and Digital Scholarship or related experience Knowledge Areas and Skills: Demonstrated background or interest in learning technologies related to teaching and
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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
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to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options
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. CCC is committed to continuous improvement and innovation in support of student-centered teaching and learning. We are committed to understanding and dismantling systems of oppression and to co-creating