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is referred to as cryptanalysis. It is the central focus of this thesis. This PhD project will be dedicated to the study of structural and statistical cryptanalysis techniques, with a stress on
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of ideas and behaviors in the Upper Paleolithic. Statistical Network Analysis for the Techno-Stylistic Study of Paleolithic Portable Art During the Magdalenian period (21–14,000 BP), human communities
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) biometrics, with methodological developments in statistics, computer science, and mathematics for modeling living organisms; (ii) ecology and evolution, studied from the molecular and genomic levels
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on astrophysical source populations and dark-matter signals, exploiting statistical correlations across datasets to break degeneracies that limit single-probe analyses. The framework will be validated on synthetic
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/statistical physics, applied mathematics, or a related quantitative field. A background in the theory of high-dimensional systems and hands-on expertise in the technical toolkit of disordered systems (replica
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. - Applied Mathematics and Statistics: Knowledge of statistical methods and algorithms for data analysis, including model fitting, regression, and sensitivity analysis. Expertise - Scientific Collaboration
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, statistics and scientific computing. * Proficiency in a scientific programming language, particularly Python, and the ability to develop reproducible processing procedures. * Knowledge of machine learning and
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with studying linear and differential cryptanalysis. Then, a particular attention will be taken at differential-linear attacks or more generally at statistical or composite attacks. We will, after having
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of aerosol chemical composition profiles. These methodologies will be extended to monitor stratospheric sulfate aerosols within the framework of the ESA STATISTICS and STATISTICS-II projects. The successful
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data) will help validate observations and refine predictive models. Automated monitoring tools (scripts, dashboards, alerts) incorporating machine learning algorithms or statistical methods will be