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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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23 Jun 2026 Job Information Organisation/Company CNRS Department GULLIVER Research Field Physics Researcher Profile First Stage Researcher (R1) Application Deadline 13 Jul 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1...
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models, large language models, and statistical mechanics to conduct research in the following areas: (1) Development of data-driven schemes for the discovery of slow variables. (2) Molecular simulations
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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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to medium level skills in programming, image analysis and electronics • Solid knowledge and hands-on experience in light and electron microscopy. • Solid formation in genetics, statistics and molecular
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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
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, integrating statistical inference, machine learning, and population genetics. We will develop advanced computational methods to characterize the functioning of T- and B-cell repertoires. The goal is to build
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hold a PhD in the fields of ecology or evolutionary biology, or biostatistics/biomathematics. Required skills: - Data analysis using R and database management - Statistical modelling for ecology