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Field
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understand, explain and improve our world and the human condition. Are you an expert in computational modelling, machine learning, or signal processing and with a strong interest in neuromuscular
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and multisensory XR at the intersection of acoustics, signal processing, XR, and human perception. You will develop and evaluate physics-based and data-driven audio rendering methods within the
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, machine learning, and signal processing, as well as close collaboration with experts in computational science, electrical engineering, synchrotron physics, soil microbiology, and environmental chemistry
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hardware and system development with data acquisition, signal processing, computational imaging, and image reconstruction. The research involves close collaboration with investigators and clinicians at
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experimental systems, physiological sensing, signal processing, human movement analysis, computational neuroscience, biomedical engineering, data science, and/or advanced quantitative behavioral
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structure and function. Lead modeling efforts for multimodal brain foundation models. Work with fMRI, structural MRI, diffusion MRI, EEG, and other neural signal modalities. Build scalable training and
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, who leads the Speech Synthesis research group at Aalto University. The group works on deep generative models for speech and audio, speech synthesis, differentiable signal processing, deepfake
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Speech Synthesis research group at Aalto University. The group works on deep generative models for speech and audio, speech synthesis, differentiable signal processing, deepfake detection, and
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artificial intelligence and machine learning across several domains of physics and astronomy. The successful candidates will develop an integrated image-processing pipeline and apply it to three
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artificial intelligence and machine learning across several domains of physics and astronomy. The successful candidates will develop an integrated image-processing pipeline and apply it to three