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through the manufacturing and characterization of test devices. To face the multiple challenges of the energy transition, whether at the generation, transport or use of electricity, extremely efficient
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laboratory tests and large-scale online (crowdsourcing) studies. • Acquiring and analyzing EEG (Electroencephalography) data to study the temporal dynamics of auditory perception, particularly the influence
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learning. Work carried out during the Master's internship has already identified strong trends and tested statistical and machine learning approaches. The thesis will aim to consolidate and update
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