57 machine-learning-"https:"-"https:"-"https:"-"https:" positions at National Research Council Canada
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practical, high-quality results. Reporting to the Team Leader, Data Analytics Centre, you will work in small multidisciplinary teams on applied analytics, machine learning, and AI projects. Your work will
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collaboration with internal and external partners, predictive models including machine learning (ML), materials thermodynamics, etc. for high-throughput identification and screening of advanced materials for gas
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applications for machine learning. Technology Assessment: Evaluate emerging technologies, instrumentation devices and other tools related to power electronics for electric vehicles applications. Collaboration
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to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options
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eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please contact the NRC
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someone who shares our core values of Integrity, Excellence, Respect and Creativity. As an experienced AI developer, you will apply your expertise in data science, generative AI, machine learning and
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an industry partner. Experience with research software, data pipelines, and simulations, machine learning, high-performance computing, CANFAR, or advanced data systems. Evidence of mentoring or supervising
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required. To learn more about these options, please contact the NRC Hiring team using the contact information below. Note: This is for three continuing positions and anticipatory staffing for position(s) of
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and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please
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of machine learning / AI methods and their applications to experimental data; Knowledge of data science (statistics and quality control) as it relates to experimental data and ability to automate data storage