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perception, computer vision, sensor fusion, or autonomous systems. Proficiency in Python, Rust, and C/C++ for the development and implementation of AI and machine learning applications. Before applying, please
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an asset Experience working in clinical health research with human subjects preferred Superior computer skills including a good knowledge of Microsoft’s Office suite (Word, Excel, PowerPoint, MS Teams
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, Research Assistant 1 position is in Prof. Thomas Szkopek’s research team, in the Department of Electrical and Computer Engineering Position Summary: Assist Prof. Szkopek’s research group in graphene ion
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, design and implementation of an immersive training tool that leverage spatial computing, computer vision, and on-device AI to support automated feedback, skill evaluation, and scalable surgical and trauma
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Research Assistant 2 position is based in Prof. Prof. Songrui Zhao’s research lab in the department of Electrical and Computer Engineering. Position Summary Under the supervision of the Research Supervisor