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of detector selected. This will minimize the need for an additional margin above criticality that would result from a reactivity measurement subject to high uncertainty. To achieve these objectives, the SPATIAL
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potential. An ideal framework for such a global analysis is provided by Effective Field Theories (EFTs), in which deviations from the SM are encoded in new effective interactions between known SM particles
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Recherche sur la Conservation (CRC – UAR 3224 CNRS / MNHN / French Ministry of Culture), within the Colours and Visual Effects research group. The project is part of the field of heritage science and aims
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would be advantageous; Scientific curiosity, a high level of rigor and commitment to research of the highest standards are also important selection criteria; Digital skills (e.g., data visualization
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, Slurm, etc.). - Strong skills in Python for data analysis and visualization. - Clear communicator with proven ability to write, synthesize, and present scientific results. Website for additional job
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molecular dynamics simulations of modified nucleosomes - analyze the large data set obtained using various analysis tools, from visualization to automation using machine learning tools - perform QM/MM
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on Interspecific Relations) aims to clarify how the landscape shaped by production systems structures trophic chains in intensive agroecosystems either by modulating predation rates (behavioral effects and balance
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scenarios or source physics, modeling or processing of instrumental effects and/or exploration of new combined analyses with additional astronomical data. This or similar studies will provide pathways
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, or computational algebra. * Strong knowledge of real/algebraically closed fields theory, Boolean complexity, arithmetic circuits, and/or effective algebra. * Fluent in English (written and oral) and ability to work
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PyTorch or TensorFlow/JAX frameworks. Tools: Experience with GPU training and large-scale data management. Soft Skills: Strong autonomy, intellectual curiosity, and ability to communicate effectively in