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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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of storing, processing, and retrieving information in acoustic waves that complement conventional quantum technologies. For more information about the research/project, please see: New Frontiers of Sound
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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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this process contributes to the development of multiple sclerosis, and potentially to exploit the findings for therapeutic applications. Experimental methods include molecular and cell biology, flow cytometry
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processes used in these channels. He/She will participate in modelling these processes at a global level (flows and organisation) as well as at the product treatment level (analysis of product/operator
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leading experts in autism research, computer vision, machine learning, psychiatry, and developmental science to develop innovative technologies that improve how caregiver-child interactions and
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necessary for you to participate in the recruitment procedure, we ask for your consent to their processing, which may read: - in the case of ordinary data: ‘I consent to the processing of my personal data
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the recruitment procedure, we ask for your consent to their processing, which may read: - in the case of ordinary data: ‘I consent to the processing of my personal data contained in.... (e.g. CV, cover letter or
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10 Jul 2026 Job Information Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Engineering » Sound engineering Researcher Profile Recognised Researcher (R2