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to support human-robot interactions. We are seeking a motivated graduate student intern for summer 2024, who will lead the setup for a new system that integrates a mobile robot with a manipulator (using ROS
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. Preferred Qualifications: • PhD degree in Electrical Engineering, Computer Science, or closely related field. • Experience in robotics • Experience with microscopy or other imaging. Princeton
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Robotic Vision Engineer for Automation of Ultrathin Brain Sectioning The FlyWire Consortium, led by the Princeton Neuroscience Institute, recently released the first neuronal wiring diagram
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the physical world, specifically using augmented reality to support human-robot interactions. We are seeking a motivated graduate student intern for summer 2024, who will lead the setup for a new system that
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system for the manipulator. Collaborate with robot vision engineer to control pick-and-place operations. Essential Qualifications: PhD degree in Mechanical Engineering, Electrical Engineering, or closely
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- Robotics Engineer for Automation of Ultrathin Brain Sectioning Company: Princeton University Description: The FlyWire Consortium, led by the Princeton Neuroscience Institute, recently released the first
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essentially unchanged for over 50 years. We are building an engineering team to modernize the collection of ultrathin brain slices with a pick-and-place robot guided by computer vision. The task is to pick up
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guns, and sample transfer robots into a working system. Technical Optimization: Optimize the MultiSEM for robustness and high-speed acquisition, collaborating closely with an interdisciplinary team and
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transfer robots into a working system. Optimize the MultiSEM for robustness and high-speed acquisition, collaborating closely with an interdisciplinary team and Zeiss engineers to enhance critical parameters
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like vacuum chambers, electron and ion guns, and sample transfer robots into a working system. Optimize the MultiSEM for robustness and high-speed acquisition, collaborating closely with