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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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concern the construction and exploitation of relevant data representation spaces, endowed with statistical properties, to link data samples in this representation space and/or reconstruct cases in
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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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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
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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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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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: - 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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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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, or natural language processing - Programming skills (e.g., Python, Matlab, JavaScript) - Knowledge of statistical analyses (R) Desired assets: - Experience with EEG - Experience with online testing
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in English (level B2 to C1 Common Framework of Reference for Languages). He/she will be familiar with basic concepts in fluid mechanics and statistics. Fluid flow in porous media plays a central role