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proficiency in Python. Knowledge in Statistical physics and Network science, and interest in complex networks and interdisciplinary research are a plus. The position is for 3 years, and will be located
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on the interplay between observations of natural phenomena, experimentation, and the modeling of the associated complex processes. ISTerre also conducts solid Earth observation missions, by hosting and
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 7 days ago
macromolecular complexes (~5.5 billion frames) [1], and the first MDDB node in France ComPASS, a graph-based method for identifying communication networks in protein–protein and protein–nucleic-acid assemblies [2
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photonic systems, in particular, make it possible to harness the richness of optical dynamics to perform complex operations inspired by biological neural networks. However, current approaches face
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to train neural networks to extract and interpret these complex relationships [10]. To address the challenges of quantitatively analysing the physico-chemical effects underlying the hydrogen/air combustion
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PhD fellowship 2 – Alexander von Humboldt and French-German Networks in the Early History of Ecology
of ecological thought in 19th-century European evolutionism 2. Its philosophical sources in the German tradition (e.g., Kant, Humboldt, Goethe) 3. Its complex reception in Germany and beyond 4. Its contemporary
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scientific problems involve complex physical phenomena that are difficult—and sometimes impossible—to reproduce experimentally. Moreover, experimental campaigns are often costly in time, resources, and
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plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
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plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
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induced seismicity. Current models remain limited by the scarcity, heterogeneity, and noise of available data, as well as by incomplete knowledge of the subsurface. Physics-Informed Neural Networks (PINNs