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, the environment and ecology, transportation, robotics, energy, culture, and artificial intelligence. Overview of the CNRS as an employer: https://www.cnrs.fr/fr/le-cnrs Presentation of IRISA as the host laboratory
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account the anisotropy of the PSF at very large angular scales and the nonlinear response of the detectors. - Design measurement robustness tests and quantify systematic errors. - Collaborate with members
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and to characterize interactions with fire regimes. Ultimately, these results will also contribute to a combined paleo-modeling approach at the core of the RETROPEST project (https://anr.fr/Projet-ANR
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, Microelectronics and Nanotechnology (UMR CNRS 8520 – https://www.iemn.fr/en/ ) is located in Villeneuve d'Ascq, near Lille, France. With a total staff of over 500, the institute has a broad research scope ranging
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-time computation. • Incorporate uncertainty from renewable generation and demand using robust and stochastic MPC; minimize expected operational cost (OPEX). GridForge (Co-Design and Flexibility
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Sklodowska-Curie Doctoral Network linking 21 academic, cultural, and industrial partners to develop advanced nondestructive evaluation and data-driven digital tools for paintings and 3D artworks (https
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robust spectral and angular performance, ensuring stable optical behavior over wide incidence angles, large-area scalability, and environmental robustness. The main objectives of the project are: • Design
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robust spectral and angular performance, ensuring stable optical behavior over wide incidence angles, large-area scalability, and environmental robustness. The main objectives of the project are: • Design
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of earwigs (e.g. predation rate, activity levels, energetic demands), with the aim of evaluating the robustness of this biocontrol strategy under climate change scenarios. Overall, the project will contribute
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
also analyse already-made simulations to test management strategies balancing all actors' expectations in order to provide robust predictions of forest's contributions under both climate change and