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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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for drone swarms. The role will focus on multi-agent visual perception techniques. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop signal processing and machine learning
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The Postdoctoral Researcher will pursue advanced research training under the mentorship of Dr. Rongxue (Rosie) Wu, MD, PhD, Associate Professor in the Department of Surgery (Cardiology) at The Ohio State University
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journals and present at international conferences. Where to apply Website https://www.academictransfer.com/en/jobs/357570/phd-on-mixed-signal-circuit-des… Requirements Specific Requirements A master’s degree
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University of California San Francisco | San Francisco, California | United States | about 8 hours ago
on the study and clinical use of biosignals, or signals that can be continuously measured and monitored from the human body. Our areas of research broadly focus on improving biosignal analysis through signal
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Requirements - Background on design of mixed-signal circuits. - Valuable Knowledge of comercial design tools like Cadence / Synopsys, ADS. - Competence in computer architectures and digital system design with
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high-impact journals and present at international conferences. Where to apply Website https://www.academictransfer.com/en/jobs/357571/phd-on-mixed-signal-circuit-des… Requirements Specific Requirements A
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this the selection criteria. Selection process The planned selection process is as follows: Those interested must access the website where the university publishes all the offers: https://talenthub.upc.edu/en/jobs/r2
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Engineering, Telecommunication or similar. Specific Requirements - Background on design of mixed-signal circuits. - Valuable Knowledge of comercial design tools like Cadence / Synopsys. - Competence in computer
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, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system