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watermarked audio data, improving content-based audio watermarking, and evaluating robustness against removal, spoofing, adversarial attacks, and realistic downstream processing. Your role and goals As the
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Postdoctoral Researcher, you will take primary responsibility for developing deep content-based watermarks for audio and work jointly with a doctoral researcher on robustness, evaluation, and generalization
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letter writers. Evaluation of the applications may start immediately. For more information about the role, please contact Prof. Miguel Caro ([email protected] ). For questions related to the application
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‑classical algorithms to tackle domain‑specific, computationally demanding problems. Methods will be designed for near‑term (NISQ‑era) deployment, with models evaluated for expressivity, training stability
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will be designed for near‑term (NISQ‑era) deployment, with models evaluated for expressivity, training stability, scalability, and resource requirements on representative problem sizes, and