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will be responsible for programming and maintaining gait exoskeleton systems, developing and implementing real-time control algorithms in C/C++, Python, and Simulink, as well as integrating feedback from
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
and implementing real-time control algorithms in C/C++, Python, and Simulink, as well as integrating feedback from wearable sensors (e.g., accelerometry, electromyography) and ultrasound imaging
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
environment. Faculty come from multiple disciplines, benefitting from the cross-pollination of ideas. Our dedicated research and programming staff support fellows at every stage of project development, from
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
supporting multiple probes simultaneously. Swarms also provide the usual benefits of multi-element array reception, namely robustness to single point failures and transmit/receive diversity. The downside
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-series modeling, and clustering algorithms. The candidate is expected to lead an effort to prepare generalized ML techniques for data quality monitoring for tasks across multiple HEP experiments
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. Essential Duties and Responsibilities Neuroimaging data collection and management Data analysis and model building Develop advanced deep learning and machine learning algorithms. Assist with organizing large
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convenient to be determined by both parties). The positions are fully funded for multiple years with a recent award from the National Institutes of Health on Developing Novel Technologies That Ensure Privacy
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data collection and management Data analysis and model building Develop advanced deep learning and machine learning algorithms. Assist with organizing large-scale multimodal neuroimaging dataset, brain
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learning on large-scale HPC systems Scalable and energy-efficient AI training algorithms Image reconstruction, segmentation, and spatiotemporal modeling High-performance computing for large-scale AI and
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on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems