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researchers from several social sciences and humanities disciplines working on transition policies, and offers regular scientific activities (seminars, study days, a network of academic and institutional
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, mainly upstream of information and communication technologies. The research at PHELIQS aims in particular at understanding and controlling original physical effects, generally of quantum origin
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on signals and complex systems. Gipsa-lab develops projects in the strategic fields of energy, the environment, communication, intelligent systems, life and health technologies, and language engineering
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of the PRCI project entitled LUCAS (Leverage External Data for Enhanced Understanding and Causal Attribution of Anomalies in Water Network Systems). The research activities will be carried out at the Centre de
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of ideas and behaviors in the Upper Paleolithic. Statistical Network Analysis for the Techno-Stylistic Study of Paleolithic Portable Art During the Magdalenian period (21–14,000 BP), human communities
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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 communications
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software, analytical platform, chemistry and microbiology laboratories. **Main contacts (CNRS internal and external network):** JH Renault (ICMR), Véronique Eparvier (ICSN), Maria Halabalaki (NPMC, Athens
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the context of a PEPR project, in collaboration with eight CNRS and CEA laboratories working on the future of electrical grids. More specifically, it is linked to WP5, dedicated to cybersecurity and network
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
an experience in computer networks. Theoretical expertise: distributed systems, P2P networks Good collaborative and networking skills, excellent written and oral communication in English Good programming skills
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-density multielectrode array (MEA); the organoid's nonlinear network dynamics and fading-memory properties transform these inputs into high-dimensional states that a trained readout layer maps onto