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Research Assistant 2 position is based in Prof. Tal Arbel's research lab in the department of Electrical and Computer Engineering. This position provides research, technical, and administrative support for
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: Literature review, data collection, input variable selection, preliminary model building for machine learning based streamflow forecasting. Qualifications: BEng; Very strong ability in coding and ML/DL
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initiatives, or with programming language experience and experience in machine learning and health informatics. An understanding of the digital health space, is expected but not essential. Must have previously
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with project experience in these areas. Priority given to coursework such as COMP 551 (Applied Machine Learning), COMP 345 (From Natural Language to Data Science), COMP 550 (Natural Language Processing
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the broader technical support team with troubleshooting and implementation tasks. Maintain websites Other Qualifying Skills and/or Abilities: Basic knowledge of computer hardware and software Familiarity with
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first author publications in reputable peer-reviewed journals Advanced quantitative skills (e.g., advanced stats [MLM], machine learning, data mining). Willingness to develop desired skills (see directly
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: Literature review, data collection, input variable selection, preliminary model building for machine learning based streamflow forecasting. Qualifications: BEng; Very strong ability in coding and ML/DL
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 25 days ago
the supervision of the immediate supervisor, you are expected to develope computer code for implementing research ideas, participate and lead weekly research progress meetings and write research articles
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COMP 551 Applied Machine Learning F 2025 LOCATION Downtown Campus Schedule
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spatial omics datasets. The position will also contribute to multi-modal data integration efforts that combine imaging, genomics, and machine learning approaches. Key Responsibilities Data Processing