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research projects focused on optimization, data analytics, and control of power distribution systems. This position offers the opportunity to collaborate closely with utility company partners and
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Optimization: Resolving hardware-specific performance and numerical precision challenges across diverse GPU environments. Architecture Design: Leading the design of new loss functions, model architectures
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leverage digital health tools to improve patient care. OMD supports physicians across Ontario with EMR optimization, digital health adoption, and practice transformation. The opportunity The IT Management
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, trajectory planning, artificial intelligence, optimization, and the experimental validation of communication-aware robotic systems. Position Requirements: Ph.D. in Robotics, Electrical Engineering
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candidate will support research and development projects that advance the state of the art in machining science, machine tool design and characterization, manufacturing process optimization, and
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to additive manufacturing (AM), virtual manufacturing, material characterization, topology optimization, and real-time sensing. This position resides in the Computational Sciences and Engineering
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Automatic Control group (from Department of Electrical Engineering) and the Mathematical Optimization group (from Department of Mathematical Sciences). About the research project The project focuses on
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also explore machine learning and artificial intelligence-driven approaches to industry challenges, such as warehouse management, ocean freight optimization, and reshoring high-technology industry
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, optimization, assessment, and/or management of complex engineered systems. Postdoctoral fellows will engage in groundbreaking, multi-disciplinary research in close collaboration with research groups in the
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also explore machine learning and artificial intelligence-driven approaches to industry challenges, such as warehouse management, ocean freight optimization, and reshoring high-technology industry