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activities (monitorship). - Participate in the supervision of trainees up to Master's level. Skills : - Mastery of the basic theoretical and algorithmic aspects of signal processing. - Proficiency in
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, which allows for a preferred writing of elements and strong algorithmic properties, is very useful, but only few examples are known. Thomas Haettel (with Jingyin Huang, Duke Math. Journal, 2024) recently
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, data-driven algorithms, deep reinforcement learning The Pprime laboratory is a CNRS Research Unit. Its scientific activity covers a wide spectrum from materials physics to mechanical engineering
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enables high activity in olefin polymerization, while providing precise control over composition and molecular weight distribution. However, this activator remains a poorly defined solid at the structural
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confirmed that different combinations of depth, rugosity, sea surface and bottom temperature, bottom flow speed and turbidity explain the different gorgonian's distribution. The objective of the present
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advanced seismic methods (including array processing, machine learning, and potentially distributed acoustic sensing) to develop novel approaches for monitoring unsteady and non-uniform flood flows across
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of synoptic processes can be isolated from those driven by surface conditions. Thanks to advances in ground-based remote sensing technology and algorithm development, those profile observations can now be
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the French National Research Agency (ANR, ref. 25-CE02-1280, https://qualag.hub.inrae.fr/ ). Led by Stéphan Jacquet (INRAe), the overall project aims to: (i) better assess the distribution and dynamics
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is broadly distributed within the nucleus. This spatial organization is believed to mostly rely on the association of heterochromatin with the nuclear lamina, which in turn participates in gene
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construction. These changes are not evenly distributed, creating diverse impacts across neighbourhoods, regions, and Baltic cities due to specific development patterns. In fact, descriptive and predictive spatio