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quality monitoring system. Potential applications will initially focus on drinking water distribution networks. The main sources of water pollution are relatively well documented in the literature
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and adapted tools for the processing of signals or images acquired with biomedical sensor networks (cardiology, neurosciences) or in geosciences (seismology and marine ecology), but also in wireless
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, various digital tools have emerged to address these needs: mobile apps, training software, and communication aids (Oussama et al., 2021; Phosanarack et al., 2025). Although promising, these technologies
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approaches with synaptic physiology and animal behaviour. The laboratory benefits from solid funding and is involved in a dense network of local, national and international collaborations. The working language
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these unique datasets using advanced artificial intelligence methods to automatically analyze blood-flow velocity, vessel diameter, and the functional response of the retinal vascular network. The project
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obtained from multi-sensor networks across urban areas. A novel synergy approach will be developed that combines observations of thermal stratification from microwave radiometers, profiles of wind and
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software; analysis of existing image databases and new datasets. - Selection and tagging of deep aggregates (ROV): protocols to be defined with the PhD student; participation in data acquisition. - Analysis
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candidate will join the SIGNAL team under the supervision of Dr. Yoan Coudert. Research topic : The recruited postdoc will investigate the genetic mechanisms underlying the pre-patterning and development at a
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Models (JSDM) will be used to predict community changes and species presence by the end of the century. Based on data on local and scientific knowledge, the recruited person will have to define four key
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criteria *The candidate will be entrusted with key responsibilities: The Postdoc will apply data-driven techniques like autoencoders to extract coherent structures from DNS data. Symbolic regression will be