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. Mission You will contribute to the development of monitoring tools for understanding the performance degradations of lithium-ion and sodium-ion batteries. Main activities · Develop an equivalent
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velocimetry, and intrusive optical probes will be used to measure both liquid and gas phase properties. As the void fraction increases and the heterogeneous regime develops, the range of available measurement
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out the research and development activities corresponding to objective 4 of the POTION project, which aims to evaluate performance stability in order to mitigate the risks associated with climate change
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, the function satisfies both assumptions simultaneously (at least on a suitable domain). The objective of this PhD project is to develop optimal solutions to the statistical problems that arise from
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University of Savoie Mont Blanc (USMB) that brings together expertise in machine learning and information fusion, as well as networks and systems. It develops methods for processing and managing data in
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sediments. To deepen this research—particularly regarding the evolution of the slopes in response to climatic (and anthropogenic) changes—EDYTEM proposes a geomorphological and geochronological approach
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minutes by tram from city center and train station • 🚄 1h30 from Paris, Luxembourg, and Strasbourg 📩 Interested or know someone who might be? Send me a private message or share this opportunity with your
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of the project are to develop and apply improved numerical age models for these archives: - Adapt the existing inverse flow-tube age model, IsoInv2.5D, to correctly deal with basal melting and to account for ice
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institution! The MSCA Postdoctoral Fellowships (PF) provide funding to promising postdoctoral researchers with a view to develop their academic and transferable skills and enhance their career prospects by
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
these results to infer and construct ordering heuristics, with the goal of employing them within the framework of hyper-heuristics. In addition, we will aim to develop predictive fitness functions. Where to apply