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- Calculus for Management MATH 123 - Linear Algebra and Probability MATH 133 - Linear Algebra and Geometry MATH 139 - Calculus 1 with Precalculus MATH 140 - Calculus 1 MATH 141 - Calculus 2 MATH 203
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. The ultimate objective is to develop a next generation of AI approaches that are more sustainable and accessible. Relevant domains include mathematical and computational optimization, learning algorithms
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a training dataset for developing machine learning algorithms for increasing the consistency of quality control in two cohort studies: healthy controls and epilepsy patients. Key Responsibilities
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and synthesize relevant literature in machine learning, representation learning, and manifold learning. Propose and implement extensions to existing dimension reduction algorithms using contrastive
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, working with iMPACTS researchers led by PI Shariff, Co-investigators, graduate and post-graduate researchers. Assess regulatory processes (such as outsourcing and algorithms), and implementation
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, and explainability; developing unbiased algorithms and responsible data use; addressing the social impacts of AI and IT-induced biases; equitable compensation policies; combating labour discrimination
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to present complex data in an accessible and actionable manner. Develop and apply machine learning algorithms to analyze data and extract meaningful insights. Implement real time monitoring and processing
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: Department of Electrical & Computer Engineering Term: Fall 2025 Course subject code: ECSE 429 Course Title: Software Validation Course Credits: 3 credits Location: WONG 1020 Schedule: Mondays: 06:05 pm-8:55 pm
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week would be dedicated to Dialogue McGill’s Research and Performance Evaluation Program (https://www.dialoguemcgill.ca/en/research-program ). Specific responsibilities: Creates electronic questionnaires
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: Computational and Data Systems Initiative (CDSI) Position Summary: Provide technical support to one or more faculty members and instructors for in-person and/or remote delivery. Includes but is not limited