24 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at National Research Council Canada
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
, 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
-
National Research Council Canada | Ontario Centre (Queensville), Ontario | Canada | about 13 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
-
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
-
Researcher is to develop and apply, in collaboration with internal and external partners, predictive models including machine learning (ML), materials thermodynamics, etc. for high-throughput identification
-
analytics, machine learning, and AI projects. Your work will help Canadian companies make better decisions, improve operations, adopt digital technologies, and accelerate innovation. This position is
-
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
-
National Research Council Canada | National Capital Region (Almonte), Ontario | Canada | about 13 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
-
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
-
, introduce or improve instrumentation and data collection, and validate applications for machine learning. Technology Assessment: Evaluate emerging technologies, instrumentation devices and other tools