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identification Title of post : Derived methods in geometric representation theory Type of contract : Postdoc (1+1) Category (A,B or C) : A Contract/project period : 1 year Expected date
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 1 month ago
, located at Inria Paris and École Normale Supérieure (ENS). The team conducts research in various aspects of quantum information theory, including quantum error correction, quantum algorithms, and the
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/Province Grand Est City Vandoeurve-les-Nancy Website https://lpct.univ-lorraine.fr Street Bld des Aiguilettes Postal Code 54506 E-Mail cyril.elouard@univ-lorraine.fr STATUS: EXPIRED X (formerly Twitter
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, efficient migration, …), with applications to living systems and robotics. To this end, we will use a combination of theory, simulation and reinforcement learning. Depending on their background and
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simplified coarse-grained models of fibers, such as slender-body theory and bead-spring chains used in the kinetic theory of polymeric fluids. These models will be studied both theoretically and numerically in
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Analysis of Pattern Learning and Extraction (MAPLE) PI: Dr. Bruno Loureiro We invite applications from highly motivated, independent, and creative postdoctoral researchers to work on the theory of feature
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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | 23 days ago
theory, and data-driven methods. The postdoc will work in close collaboration with an interdisciplinary group of researchers and students in control theory, signal processing, neuroscience, and sports
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 7 days ago
: rigorous, organized, curious, autonomous, proactive and dynamic. A specialization in optimization, machine learning, statistical learning or game theory is appreciated. Research experience is a plus
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-source framework, enabling the systematic study of these materials. The work will involve developing tensor network numerical codes, building upon existing libraries and codes, to study general models
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at Laboratoire de Physique de l'Ecole Normale Supérieure (LPENS) in Paris, while theory and numerical modeling will be carried out by CELIA and ILM. The necessary high-performance computing (HPC) resources will be