97 quantum-physics-"https:"-"https:"-"https:"-"Embry-Riddle-Aeronautical-University" positions in France
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
of publications in quantum information theory. Familiarity with Bell nonlocality, operator algebras, SDP relaxations of polynomial optimization problems, quantum correlation protocols, experimental physics and / or
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other institutes working on related physics aspects, both theoretical and experimental. More details can be found at https://www.ipht.fr/en . A description of the group concerned by the hiring is found
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. This position is supported by the national strategy for quantum technologies through the collaborative project OQuLuS. The work will be done in the Institute of Physics of Collège de France in Paris, in
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to spend time at both locations. Applicants should hold a PhD in Physics, or be close to completion, and ideally have a strong background in perturbative quantum chromodynamics (QCD) at particle colliders
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High Magnetic Field Laboratory (LNCMI) – French National Centre for Scientific Research (CNRS), Grenoble, in experimental condensed matter physics. The research activities will focus on magneto-optical
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identification of microbial species that coevolve with the host immune system. These findings will support models of immune dynamics that can predict age related immune responses. Where to apply Website https
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, including Tikhonov regularization [3], Bayesian approaches [4], and compressive sensing or sparse regularization methods [5]. However, with the emergence of Physics-Informed Neural Networks (PINNs), new
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AI researchers from ANITI, IMT and CERFACS, as well as with researchers/engineers in weather forecastings from the CNRM (Météo-France). Hybridization methods between neural networks and physical models
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Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | about 2 months ago
-018-9301-4 Guayacán-Carrillo & Sulem, 2024. Comp & Geotech, 171, 106355. https://doi.org/10.1016/j.compgeo.2024.106355 Orgogozo et al., 2023. Computer Physics Communications, 282, 108541, https