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hardware and FPGA background, who is interested in contributing substantially to both research and teaching. The ideal candidate should enjoy developing complete embedded systems, from sensor and
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wearable sensor / IMU data Strong interest in applied translational research and the direct clinical application of rehabilitation technologies Motivation to work with clinicians and with post-stroke
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systems design, you will design and build the robots themselves: mechanisms and compliant structures, actuators and tendon routing, embedded electronics and motor control, and the sensor integration that
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accumulation, western blotting, microelectrode array (MEA) recording Excellent problem-solving skills and the ability to troubleshoot complex experiments Evidence of good record keeping and project