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the monolayer could be evidenced from a precise analysis of the observed domain sizes. A second study will be an attempt in using such hexagonal network to form a large metallic graphene network (by depositing
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Network (MSCA-DN) REMOD-HEALING:“Targeting Extracellular Matrix Remodelling in Cutaneous Wounds to Promote Better Healing” REMOD-HEALING Call for applications for 12 Doctoral (PhD) Training Positions in
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of neuronal networks and how this translates into specific behaviors in healthy and pathological conditions. To achieve these objectives, SPPIN adopts a multidisciplinary approach combining optical microscopy
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PostDocs, and several Ph.D. students. More in general, research at LAAS-CNRS spans robotics, optimization, control, telecommunications, and nano-systems. The robotics department at LAAS-CNRS counts more than
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prospects for improving energy efficiency and decentralization (adaptation to local energy sources). There is no universally optimal cycle; optimality depends on precise specifications defining the objectives
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into **influence functions**, theoretical tools designed to quantify the impact of a sample on a machine learning model. These functions, defined through the derivative of model parameters or the loss function with
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Eligibility 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
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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