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new pyranopyran-based building blocks, as well as the quadrupolar chromophores obtained by adding two electron-withdrawing groups A, for next-generation OPV and OLEDs. After synthesis, optical and
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of geomorphological factors (elevation, slope, aspect, debris cover) on the long-term evolution of glaciers. • Compare the long-term evolution of glaciers based on their degree of sensitivity to climate. • Calibrate
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) and/or machine learning (about 10 PIs). The Physics Laboratory is about 180-member strong and conducts world-leading research on a broad range of topics, including quantum technology, statistical
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, the ability to analyze the full dataset collected by the experiment will be severely limited. The L2IT is a leader in developing new track reconstruction algorithms using geometric deep learning methods
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- Geometry, Learning, Information and Algorithms - Speech and Cognition The Gipsa-lab comprises 150 permanent staff and approximately 250 non-permanent staff (doctoral students, post-doctoral researchers
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the MARIANNE team at the I3S Laboratory (Laboratory of Computer Science, Signals, and Systems in Sophia Antipolis) of the CNRS and Université Côte d'Azur. The team is based at the Inria Center at Université Côte
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, network-based analysis, unsupervised learning and interpretable AI. The project leaves room for methodological exploration while remaining closely connected to biological interpretation, experimental
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the long term, situating them within their chronological, environmental, and climatic contexts across different geographical areas. You will be based at the Musée de l'Homme (Paris) within the ComE team
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. • Karimi H. et al., “Wavelet Based Protection of Microgrids”, IEEE Transactions on Smart Grid, 2019. • Heidari A. et al., “Deep Learning for Fault Detection in Smart Grids”, Applied Energy, 2021. • Wen L. et
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member of the French metrology network FIRST-TF, and a member of the REFIMEVE+ project, which physically links our institute to the LTE laboratory in Paris. This thesis will allow the candidate to acquire