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the Master of Environmental Law and are experiencing disadvantaged circumstances. About the donor Bridie Jean Butterfield was an accomplished lawyer with a deep sense of responsibility to care for our natural
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automated detection models (deep learning and/or classical) for ROI identification from lower resolution or degraded MRI data Develop simulation frameworks to generate realistic low-resolution or motion
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HIL environment rather than only on offline simulation. Learning outcomes anticipated include stronger understanding through immediate feedback on live systems, deeper engagement with
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experimental studies with healthy volunteers using psychophysical methods, psychophysiological measurements, mathematical modelling, and machine learning approaches. RESPONSIBILITIES: Participate in
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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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. Provides initial project consultations, refers complex research requests to appropriate divisional subject experts, and develops foundational synchronous and asynchronous learning objects. Partners with
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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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, Automation, Machine Learning and Artificial Intelligence, Sensor Networks, Hierarchical Decision and Control Systems, with a primary focus on manufacturing and autonomous systems. (1 to 5 points); C
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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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strategies and communication with national and international stakeholders. 4. REQUIRED PROFILE: Admission requirements: Master's degree in Electrical and Computer Engineering, Computer Science and Informatics