100,040 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" uni jobs
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4 Mar 2026 Job Information Organisation/Company KOMAG Institute of Mining Technology Department Machines and Equipment Research Field Engineering » Geological engineering Engineering » Industrial
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RAP opportunity at National Institute of Standards and Technology NIST Autonomous experimentation and machine learning of material properties Location Material Measurement Laboratory, Materials
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Experiential Learning team. The appointee will play a key role in designing and delivering innovative, engaging, and high-impact experiential learning opportunities for undergraduate students, with a particular
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place across our campuses through research, learning, teaching, and community building, and is centralized within our Indigenous Initiatives Office . The University of Waterloo values the diverse and
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currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning to provide leap-ahead mission
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: 2024075 Senior Machine Learning Engineer (Full-Stack / Applied-Research) - Mission Innovation Lab At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions
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of Continuing Studies is seeking a skilled online course developer to design and build a new three credit asynchronous online course titled: Temporary Online Course Developer - Machine Learning Engineering and
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currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning to provide leap-ahead mission
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with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in
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Machine learning has recently made significant progress for medical imaging applications including image segmentation, enhancement, and reconstruction. Funded as an Australian Research Council