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aims to develop a new OAM platform using well-designed 2D material nanocomposites based on MXenes combined with functional organic molecules, and to demonstrate prototype devices for large modulating
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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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deep generative models for speech and audio, speech synthesis, differentiable signal processing, deepfake detection, and watermarking. In addition to the Aalto speech groups and the Doctoral Researcher
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([email protected] ) or Senior University Lecturer Leena Lankoski ([email protected] ). In questions related to the recruitment process, please contact HR Partner Jenna Knuutinen, jenna.knuutinen
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employees should apply via Workday (Internal Jobs); students or visitors should apply via Aalto University's open positions page. For more information about the role or application process, please contact
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facilitating co-creative workshops — grounded in an action-research approach in which the research process itself helps to co-create new innovation practices. On the conceptual side, you will contribute