48 computer-science-"https:"-"https:"-"https:"-"https:"-"https:" positions at National Research Council Canada in canada
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within the content of their application that they meet the following screening criteria in order to be given further consideration as candidates: Education Bachelor’s degree in Engineering or Science or a
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Region and Forbes Canada’s Best Employers! As Canada’s largest research and innovation organization, our world-renowned research pushes the boundaries of science and engineering to make the impossible
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-wing pilot flight training or equivalent. Bachelor’s degree in relevant engineering, science or math program. Candidates with a relevant Master’s degree will be given preference. Completion of formal
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Employers! As Canada’s largest research and innovation organization, our world-renowned research pushes the boundaries of science and engineering to make the impossible, possible. Every day we explore new
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related field. A Master’s degree in engineering physics, engineering (electrical, mechanical, other), or in physics, along with relevant experience may also be considered. As part of the RA Program you must
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for optimization algorithm development and associated experts for integration into the experimental workflow. You will work with a team that possesses focused skill sets (subject matter expert, AI/ML, robotics and
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be given further consideration as candidates: Education Ph.D. in Electrical Engineering, Physics, Photonics, Optical Engineering, or a closely related field. As part of the RA Program you must have
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project leadership, grants or awards; Experience in collaborations, including with industry or engineering of instrumentation projects; Experience with advanced computing platforms, systems or techniques
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working with AI/ML experts for optimization algorithm development and associated experts for integration into the experimental workflow. You will work with a team that possesses focused skill sets (subject
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construction automation technology and robotics systems. Ability to design and program robotic and automated systems for modular, on-site, and hybrid construction. Knowledge of DfMA and its integration with