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Research Assistant 2 position is based in Prof. Narges Armanfard's research lab in the department of Electrical and Computer Engineering. The research project focuses on data-driven Atmospheric Plasma Spray
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disease. In this position, the incumbent will perform the following duties, but is not limited to: 1) High-performance computing workflow for large-scale metabolomics data analysis 2) Development of deep
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signal processing algorithms on FPGA, optimized to significantly improve the resolution of real-time energy measurements made by the ATLAS Liquid Argon Calorimeter system. Use novel high-level synthesis
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degree in Computer Science, Math, Statistics or Engineering programs. Ph.D would be an asset. Knowledge of classification algorithms, vision-language models (VLM) and Hugging Face Transformers is an asset
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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, statistical
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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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Therapy (CFT) Program, School of Social Work Course/Program Developer (Curriculum) Overview of Role : Provide specialized course/program development to be used as part of a series of didactic seminars
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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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game play. Distributes and tracks computer equipment. A log to track these items may be required. Other Qualifying Skills and/or Abilities Sport specific knowledge is required for most positions Must be
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the Department of Electrical & Computer Engineering for the Fall 2025 semester. These positions are open to McGill University students only. Hiring Unit: Department of Electrical & Computer Engineering Application