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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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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
computer vision and/or audio(-visual) machine learning (e.g., multi-object tracking, speaker/source localisation, multimodal fusion). Experience with deep learning frameworks (PyTorch or equivalent) and
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network that allow different sound dimensions to propagate along the auditory pathway. Frequency representation, or tonotopy, is present as early as the peripheral level, and the relationship between neuron
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. Additional educational background in political theory/science/philosophy preferred. Some technical (video/audio production and editing) skills. Excellent French and, ideally, English. Specific Requirements
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, acceleration) and associated metrics that are relevant to the project objectives (e.g. sound pressure/exposure levels, vibration maps, etc.). Main collaborators and Host institution Host institution : CNRS
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religious communities, including diasporic networks, new religious movements, yoga, and the internet. Using an interdisciplinary approach that includes Indology, anthropology, sound studies, media studies