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The job information is shown below. Please click on the links to see full details. Applications are invited for the position of Research Fellow in Algorithmic Sensing for Music to create a new
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( STAR ) and the Automated Design of Algorithms ( ADA ) research groups. Moreover, there are plenty of opportunities for interaction and collaboration with other groups at the institute and internationally
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physics and engineering. We specialize in algorithms and applied mathematics, data science and learning, high-performance computing, multiscale integrated modeling, and software technology. While our
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. The successful candidate will lead the development of next-generation wearable devices specifically designed for spinal cord injury applications. This role involves the end-to-end development of advanced sensor
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to transform acoustic sensing devices into versatile sensors capable of characterizing the dynamic state of buildings and their inhabitants. By combining multi-microphone acquisition techniques with state
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303.497.3665 Karl Francis Stupic [email protected] 303.497.4564 Description Neural net systems have been developed to process magnetic resonance imaging (MRI) data from sensor space into real space and
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, converter control, and energy systems. Design, model, simulate, and develop advanced power electronic converter topologies and associated control algorithms. Investigate high-efficiency and high-power-density
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of the sensor infrastructure itself using reverse estimation techniques.; The fellow will collaborate with the Robotics and Autonomous Systems Center team on the development, integration, and validation
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-latency operation, and improved robustness under photon-limited conditions. Develop hardware-software co-design for intelligent sensing, including implementation and evaluation of real-time or near-sensor
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++, and C#; design of DC-DC converters, AC motor drives, and control algorithms Sensors such as MEMs accelerometers, piezoelectric sensing, MEMs microphones, etc. Current eligibility for access