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experimental procedures -Conducting experiments -Statistical analysis of results -Communication with other SCOPIL project members -Writing of articles in English and participation/presentation at international
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about the linguistic diversity and history of (parts of) Eurasia • Experience with quantitative and statistical analysis of linguistic data • Experience with GIS systems Applicants should submit a single
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, biological anthropology or neuroscience. Knowledge in imaging techniques, statistics and comparative anatomy, as well as a strong interest in research questions related to evolutionary mechanisms and human
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[4]. The total cross sections can be mapped to the statistics of the extreme values of this process [4]. The genealogies of extreme particles [5], the detailed study of which is the subject of this
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: - Solid training in ecology or evolution - Excellent programming (R, Python, etc.) and statistical skills - Scientific curiosity and autonomy - A strong interest in interdisciplinarity - Fluency in written
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to follow the corresponding chemical reaction, 2) rheology to follow the change in mechanical properties (elastic modulus and yield stress) and 3) video imaging to characterize the foam structure (statistics
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percussion. Morphometric data on bladelet obtained using geometric morphometry tools will be statistically processed. This novel aspect will be the subject of collaboration with V. Bonhomme and A. Evin (UMR
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or materials science and/or statistical physics is required. Modalities: The thesis will begin on October 1, 2024. Interested candidates should send a letter of motivation, a CV, and at least one letter of
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. This project explores environmental migrations and their governance at different levels. In the absence of a widely recognized administrative, legal or statistical category, grasping the environmental factors
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in molecular simulation is desirable, as well as a good knowledge of associated theoretical tools (statistical physics, etc.; programming experience including: Python, Fortran, C, C++, etc.). A good