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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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Title: Introduction to Computer Science Course Number: COMP 251 - Course Title: Algorithms and Data Structures Course Number: COMP 273 - Course Title: Introduction to Computer Systems Course Number: COMP
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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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digital communication protocols, and applying advanced Digital Signal Processing (DSP) and Machine Learning algorithms on embedded systems. The Research Assistant 2 will report to the McGill Principal
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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