16 learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at National Research Council Canada
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climate change, more prevalent weather extremes, and emerging disease threats. Designing transformative computer vision and machine learning systems to boost efficiencies and design resilient crops is
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, integrity and collaboration, we want you to apply! To know more about the NRC and the advantage, please click on the following link: https://nrc.canada.ca/en/corporate/careers/nrc-advantage Screening
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National Research Council Canada | Ontario Centre (Queensville), Ontario | Canada | about 8 hours ago
: we offer the opportunity to provide value to Canadian companies and have a positive impact on the Canadian economy at large. https://nrc.canada.ca/en/support-technology-innovation/make-your-mark
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impact on the Canadian economy at large. https://nrc.canada.ca/en/support-technology-innovation/make-your-mark-become-industrial-technology-advisor Screening Criteria Applicants must demonstrate
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multidisciplinary team focused on combining advanced genomic technologies and machine learning to develop a predictive understanding of plant biology, this position will support NRC’s data driven genomics
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National Research Council Canada | National Capital Region (Almonte), Ontario | Canada | about 8 hours ago
looking for a meaningful work experience? Are you interested in contributing to projects of value to Canada? Are you looking for amazing learning opportunities in a creative and diverse environment
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alongside our data scientists to support the development of custom machine learning models and other data products for clients. They have an understanding of data science workflows as well as
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, you will apply your expertise in data science, generative AI, machine learning and Natural Language Process to help the NRC Construction Research Centre to digitalize, integrate and unify structured
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appeal to someone who enjoys working in a multi-site team environment with constantly changing priorities and new challenges daily. The successful incumbent should be someone who is open to learning and
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competencies Knowledge of current and emerging trends and technologies in generative AI, LLM orchestration, machine learning, natural language processing, and responsible AI practices; Knowledge of software