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physics or closely related field. •Experience with data analysis and associated statistical methods. •Strong programming skills (C++, Python, ROOT, etc.) •English proficiency (written and spoken) is
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numerical simulations and analytical calculations, (iii) data analysis by programming, e.g. python and matlab, (iv) help and guide of Ph.D students in the team, (v) writing research reports, publishing
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for cosmological simulation, Bayesian sampling or high-performance computing. Strong skills in Python programming and collaborative development (Git/GitHub, CI/CD, open-source practices). Ability to conduct research
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preferred. Skills in one or several programming languages (e.g. Python, Fortran, C++) are necessary. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8023-ANTGUS-003/Default.aspx Work
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• Experimental data analysis (forces, fields, imaging) — good level • Scientific programming (Python/C++ or equivalent) — good level Technical know-how: • Coupling physical models with experimental data — expected
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Experience1 - 4 Additional Information Eligibility criteria - PhD on steganalysis and/or watermarking - knowledge in image coding and on generative methods - knowledge about python Additional comments NA
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(bash, Python) and image analysis. • Management of large-scale scientific data (images and processing) and critical literature review of state-of-the-art methods. • Communication skills in a
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aerosols. - Visualization and post-processing tools: Proficiency in visualization tools (e.g., Python) and data post-processing tools to analyze simulation results and generate graphs, maps, and diagnostics
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scientific computing tools such as C++, Python, and ROOT. Familiarity with collaborative software development and version-control tools, such as Git, would be appreciated. • Experience with particle physics
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of quantitative methods (statistics, modelling, data analysis) and related tools (R, Python, QGIS/ArcGIS…); • Ability to develop and work with composite indices and indicators (risk indices) at different temporal