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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 14 days 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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include: · building hierarchical causal graphs to account for the multi-scale structure of the experimental system, · detecting latent variables that may affect causal inference
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graph states by exploiting the entanglement between the spin state of a carrier trapped in a quantum dot and the polarization of the photons successively emitted by the dot. We are now able to entangle
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contribute to the development of a proof of concept obtained at University Côte d’Azur for accessing the content of a metabolomics knowledge graph (KG) with a large language model. It is Python prototype of a
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Quantum mechanics is the fundamental theory that rules the way nature works at the microscopic scale. However, a fully quantum description is often a fierce challenge, both for analytical
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Astrophysics (MPO), Stellar and solar Physics, Signal and Image processing (Signal), Theory and Observation in Planetology (TOP) and Turbulence, Fluids and Plasma. It is the birthplace and remains a world leader
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29 Aug 2025 Job Information Organisation/Company CNRS Department Centre de Recherche En Acquisition et Traitement de l'Image pour la Santé Research Field Engineering Computer science Mathematics
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causal inference methods (e.g., directed acyclic graphs) would be an asset Fluent in reading, writing, and speaking scientific English Required Skills : Experience in data management and analysis of cohort
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27 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Mathematics History » History of science Researcher Profile
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level micro-economics or game theory; familiarity with empirical research using surveys and interviews. Specific Requirements Familiarity with the desperation threshold model of decision making