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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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/validation of the models used; Graphical modeling and visualization of the data; Contribution to the writing of scientific articles. The recruited individual will work within the Praxiling laboratory (UMR 5267
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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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with researchers from various disciplines to study the effect of water regime disturbances on the interactions between microbial hosts and their viruses in soil, and their impact on greenhouse gas (GHG
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potential outcome is to improve the predictive accuracy of correlative-based SDMs at species' range margins where soil dependencies may be a significant barrier to effective SDM application. Where to apply
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rigour Curiosity Ability to work effectively in an interdisciplinary team environment Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR6290-KEVMAC-002/Default.aspx Work Location(s