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at various points in a subcritical model reactor operating at near-zero power and driven by an external high-intensity, high-reliability neutron source; 2) Extending the previous results to a power ADS loaded
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that incorporates a broad range of neutrino and dark-matter models, assessing their effects on large-scale-structure (LSS) statistics as measured by the power spectrum and bispectrum of galaxies or intensity maps
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applications for a postdoctoral position on logical foundations and formal methods for quantum programming languages. Topics of interest (non-exhaustive) : • Models of quantum computation (λ-calculi, term
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well as potential power deposition on accelerator elements and potential damage. •Subsequently perform the benchmarking of the accelerator model from the Bmad code to the Xsuite / RF-Track codes. This work will
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LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research Experience4 - 10 Additional Information Eligibility criteria Applicants must hold a PhD in instrumentation for ionizing particle detection or a related field
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to carry out the following tasks: Development of analysis scripts for the preprocessing and automated processing of functional neuroimaging data; Statistical modeling of imaging data and evaluation
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. Numerical modeling of Mercury's magnetosphere and ion dynamics 2. MSA instrument data analysis LPP (Laboratory of Plasma Physics) is a joint research unit of the CNRS, École Polytechnique, and Sorbonne
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, angular stability, and fabrication robustness The postdoctoral researcher will contribute to the full metasurface development workflow, from concept and numerical modeling to fabrication and experimental
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contribute to the development of fundamental aspects of computer science (models, languages, methodologies, algorithms) and to address conceptual, technological, and societal challenges. The LIG 22 research
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
generated during earthquakes. The work will be based on the joint study of micromechanical damage models and their comparison with seismological and geodetic data published as part of this same ANR project