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the network, as well as with academic and non-academic partners. General information about the CLIMES project is available at: [https://www.climes.se/climesdn/ ](https://www.climes.se/climesdn/ ) All working
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future values, one can achieve at least a constant fraction of the expected maximum value, assuming the values are drawn independently from known distributions. These results have been widely applied in
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nanoagents leads to a global heating until a steady state is reached. However, this macroscopic point-of-view ignores the nanoscale spatial heterogeneity of the temperature distribution while strong thermal
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, Interactive and Cognitive Systems, Distributed Systems, Parallel Computing, and Networks. The host team, DAISY, is a joint CNRS, Grenoble INP, and UGA research team handling research challenges
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integrating them with the latest Earth foundation models. These approaches will enable us to model and test the relevance of hyperspectral data for understanding soil biodiversity distribution and functions
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goal of this work will be to better assess the sustainability of harvesting (hunting or fishing) for different taxa with varying life history traits, which is essential for generalizing adaptive
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structural observations. The postdoc activities will be to generalize existing analytical methods — in particular the Effective Field Theory of Large-Scale Structure (EFTofLSS) — to include the effects
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prediction models, and visualizing immense volumes of various types of data, generated by agri-robots and IoT devices. The most popular classes of autonomous agricultural devices include: weeding robots
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Marchand, scientific coordinator of the EICROC project involving researchers (2), engineers (3) and technicians from IJCLab, OMEGA (Organization for Advanced General Micro-Electronics, 4 people), from
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and difficult to anticipate. Predicting the spatio-temporal dynamics of these changes generally relies on empirical models, most of which project correlational relationships between species occurrences