45 machine-learning-"https:"-"https:"-"https:" positions at National Research Council Canada in canada in Canada
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disease threats. Designing transformative computer vision and machine learning systems to boost efficiencies and design resilient crops is critical to our agriculture industry. Automated vision analysis
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journey. From ground-breaking discoveries to a life-changing career, discover your possible at the NRC. The role We are looking for Computer Support Specialists to support our Chief Information Officer
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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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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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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
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of the following criteria: Technical competencies Knowledge of machine learning / AI methods and their applications to experimental data; Knowledge of data science (statistics and quality control) as it relates
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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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of inverse photonic design, machine-learning (adjoint or topology optimization), or other advancing design methodologies. Ability to design and model active photonic devices (MEMS, electro-optic or thermo
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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