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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
end, embedded electronics, and firmware. Develop and validate signal-processing and machine-learning algorithms that account for skin pigmentation, low perfusion, and motion. Work with UNC clinical
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https://liacs.leidenuniv.nl/ What you bring Ph.D. degree in computer science, acoustics, signal processing, or a related field; Good publication record in ML, and/or computational methods for audio data
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
& speech processing, and telecommunication systems. Within the ESAT department this position will be linked with STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics. STADIUS
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