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for cardiometabolic disease with associated neurodegenerative conditions. It aims to develop novel deep learning algorithms, audio and vision transformers, and hybrid attention mechanisms, to detect
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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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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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liberties that are not a given at other institutions. Does that sound like somethingfor you? Welcome to our team! Your personal sphere of play: The advertised position is located in the Department
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-Activity Relationships: Exploring how the chemical structure of ligands controls receptor activation and how these processes affect physiological endpoints (e.g., satiety signals, cytokine levels
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lab and organisational skills, sound scientific judgement, and the confidence to engage effectively with both academic and industry partners. In addition to advanced laboratory training, fellows will
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interest and experience in investigating neural and psychophysiological processes of motivation, effort mobilization, and affective experience. Applicants should bring a sound knowledge of quantitative and