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Staff position in computational genomics "omics" (i.e., genomics, epigenomics, and/or proteomics). This is a three year, renewable appointment at the rank of Assistant or Associate Professor (Research
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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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Positions in the Department of Electrical & Computer Engineering for the Fall 2025 semester. These positions are open to McGill University Graduate students only. This position requires in-person work and is
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computational methods such as machine learning (ML), natural language processing (NLP), multi-modal large language model algorithms (LLMs), network analysis, and/or data mining to study the influence of digital
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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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there is a change to the date/time) Location: Chancellor Day Hall Course Description: Technology law of how to regulate AI algorithms. How technological innovation produces social change: human
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work independently on complex projects. Experience and Education Master’s degree in Software and Computer Engineering (French engineering schools are preferred). Experience in optimizing ML 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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: Department of Electrical & Computer Engineering Term: Fall 2025 Course subject code: ECSE 316 Course Title: Signals and Networks Course Credits: 3 credits Location: ENGMD 276 Schedule: Wednesday and Friday: 1