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Polytechnique), as well as the strong community of data scientists and AI experts (IVADO and Mila); • Use advanced analytical methods, for example those based on machine learning and artificial intelligence (AI
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Nature Careers | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 20 days ago
Health and the IWK Health Centre in Halifax. The successful candidate will have an opportunity to be part of the Big Data Analytics, AI & Machine Learning research cluster in Computer Science, and the
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Canada Excellence Research Chair in Sustainable Agriculture for Grape and Wine Professor or Associat
University Brock University is committed to building inclusivity and equity through understanding and respect for diverse identities. These commitments are reflected in our approaches to teaching and learning
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candidate will be appointed to a full-time tenured position at the rank of Associate or Full Professor within the Faculty of Engineering. In addition to leading a world-class research program, they will teach
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Posted: May 29, 2025 Tier 2 Canada Research Chair Faculty Position in Supercomputing and High-Performance Computing Department of Electrical and Computer Engineering Queen’s University at Kingston
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sciences. Areas of interest include but are not limited to: AI-driven drug discovery and development, quantitative systems pharmacology, large language models for education and clinical support, machine
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the area of structural or spatial mass spectrometry-based proteomics, combined with innovative machine learning, commencing at the Manitoba Centre for Proteomics and Systems Biology on October 1, 2025, or a
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. Queen’s will nominate up to two candidates in the following strategic areas: Artificial Intelligence and Exascale Computing: Including Agentic AI, Generative AI, Reinforcement Learning, Robotics, and Human
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Nature Careers | Victoria Central British Columbia Provincial Government, British Columbia | Canada | about 1 month ago
research includes a suite of NMR spectrometers, mass spectrometers, as well as glassblowing, instrument and machine shops. Researchers and students also benefit from shared user facilities in
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platforms like quantum computers, and writing the algorithms that power machine learning, big data analytics, and predictive modeling. Beyond technological development, SFU’s researchers also explore