8 algorithm-development positions at McGill University

  • McGill University | Old Montreal, Quebec | Canada | 4 days ago

    of Professor Etienne De Villers-Sidani is seeking a highly motivated and qualified Research Associate to join its team. The laboratory develops digital biomarkers of brain function derived from eye-tracking and

  • McGill University | Canada | 17 days ago

    Science: Concepts and Algorithms INSY 674 075 Fridays  08:35 - 9:55 Start Date:  August 31, 2026 End Date: December 4, 2026 CL Credits: 1.5 Number of Class Hours:  19.5 Remuneration: $5,912.00 Deadline

  • McGill University | Canada | 17 days ago

    Science: Concepts and Algorithms INSY 674 076 Fridays  14:35 - 15:55 Start Date:  August 31, 2026 End Date: December 4, 2026 CL Credits: 1.5 Number of Class Hours:  19.5 Remuneration: $5,912.00 Deadline

  • McGill University | Old Montreal, Quebec | Canada | 3 days ago

    convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term

  • McGill University | Old Montreal, Quebec | Canada | 19 days ago

    to environmental stimuli, from decision-making to motor coordination. He/she will develop analyses and computational models to explain existing datasets and extract the algorithms underlying responses to visual and

  • McGill University | Canada | 4 days ago

    , cryptocurrencies, prediction markets, algorithmic decision-making and accelerating Artificial Intelligence are implicated in these pressures. A Canada Impact+ Emerging Leader will develop critical research and

  • McGill University | Old Montreal, Quebec | Canada | 3 months ago

    a bioinformatics core facility. Primary Responsibilities: Use and develop analysis pipelines using in-house and third party tools or algorithms, and incorporate them into specialized analysis

  • McGill University | Canada | 3 months ago

    . 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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