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acoustic signal processing, you will contribute to the development of next-generation acoustic sensing systems. You will push the boundaries of: Continuous-time and sparse representations
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Description The Harvard John A. Paulson School of Engineering and Applied Sciences ( SEAS ) Bionics Lab (https://bioniclab.seas.harvard.edu/) is seeking a highly motivated Fellow with a background in
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experiments for real-world deployment. Key Responsibilities: Develop algorithms for DAS signal processing, wavefield analysis, feature extraction, and interpretation across infrastructure monitoring, urban
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for watermark and deepfake attribution, especially when generated content is mixed with other audio sources. Studying robustness against signal-processing attacks, generative resynthesis attacks
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explainable and localized detection methods for watermark and deepfake attribution, especially when generated content is mixed with other audio sources. Studying robustness against signal-processing attacks
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processing, electrical engineering or a related subject. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd Applicants can
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. In this research project you will work on the intersectional area of antenna design, circuit design and signal processing to investigate novel nonlinear multi-antenna transmitters that overcome these
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in laboratory instrumentation, radar systems, RF engineering, signal processing, or related fields, and who are eager to contribute to cutting-edge research with science applications. Field of Science
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students can work on one or a number of these aspects. Students with good degrees on robotics, electrical engineering, computer science, mathematics, cognitive science or subjects where signal processing