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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 19 days ago
. PhD Topic AI-based real-time embedded audio Digital Signal Processing (DSP) is an emerging field which promises to revolutionize our daily life. Embedded real-time audio DSP can be found in hearing aids
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the interpretability of these models can be enhanced to support clinical decision-making. This project will leverage the complementary expertise of both supervisory teams in EEG signal processing, graph deep learning
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intermediate processes to restore DES composition for reuse. It will investigate the performance of existing DES(s) on mixed battery chemistries to propose a synergistic ionometallurgy design. Lastly, it will
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Proteins are key biomarkers, indicative of normal biological or pathogenic processes and responses to intervention. Identification and quantification of such molecules in biological fluids is
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manufacturing technology for producing small to medium-sized thermoplastic composite components in high volumes. Process simulation software is being developed for virtual optimization of tool design and material
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is done. b) Hold a Master’s degree in Biomedical Engineering or Mechanical Engineering, with a final grade of 17 or higher (on a 20-point scale). c) Fluency in both English and Portuguese (preferred
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laboratory team is likewise highly recognized for its research in computer vision and neuro-inspired artificial learning. Both teams have been collaborating for four years on projects at the interface between
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(with openness to learning others): Computational protein design or molecular modeling Protein biochemistry / structural biology Cell biology and receptor signaling Good communication skills in English
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) recording, near-infrared spectroscopy, peripheral biosignals, offline and online signal processing of brain signals and other biosignals, feature extraction, machine learning methods applied to brain patterns
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of gravitational-wave sources. These signals are produced by black holes and neutron stars, the compact remnants of massive stars. Many questions on how these populations form remain. To solve this puzzle, we must