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imaging methodology, two-photon voltage imaging, to record the activity of neurons in the cerebral cortex with high temporal precision and deduce the function of the recorded neurons in sound information
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operations of chemical (mixing process in deep bed reaction systems), petroleum (oil-water separation systems), and biomedical industries (drug delivery encapsulating system) as well as in environmental
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audiovisual corpus analysis tools - Interest in visual approaches to political processes - Ability to integrate into collective and multidisciplinary research teams Website for additional job details https
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of sea turtles - Developing innovative machine learning methods to analyze the sounds associated with these behaviors - Automating the processing of audio and visual data to optimize the quantity and
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fundamental and experimental perspectives. The project's primary objective is to demonstrate the effectiveness of using a nonlinear absorber to control very low-frequency vibrations and sound fields emitted by
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audio equipment company based in Saint Etienne. The PhD student will join the 'Transducers' team at LAUM (Le Mans University), whose research activities focus mainly on the study of transducers (sensors
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
integrate the Laboratoire des Sciences du Numérique de Nantes (LS2N), in the Signal, Image and Sound (SIMS) team (https://www.ls2n.fr/equipe/sims/ ) and work on the campus of Centrale Nantes, a top-level
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Nanophononics is a promising field with great potential for controlling sound and heat at the nanometer scale. Over the past thirty years, intensive research on the vibrational properties of semiconductor
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; data collection and analysis. The various tasks must be able to be performed independently: Stereotaxic surgery in mice for AAV-based sensors injection and implantation of intracerebral recording devices
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for calibrating remote sensing instruments and validating national and regional aerial biomass maps. The One Forest Vision initiative (OFVi project, https://www.oneforestvision.org/eng ) has enabled the creation