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research team presented below have been identified in this regard. Main Research Field Information Science and Engineering (ENG) Research sub-field(s) Networking, Modeling, Statistical tests Keywords Network
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Jouy en Josas, le de France | France | 2 months ago
the need for the exhaustive analysis of each biomass. In the VARIOUS project, we propose to use statistical physics, already used by the ECN, to design non-renewable materials. The Junior Professor will
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corresponds to this strategy and to the development of new tools and concepts in statistical physics, enabling to ameliorate the understanding and numerical simulation of physical systems and also to better
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mechanics and numerical methods. A good general knowledge of statistical physics and mathematical methods for physics will be appreciated. Additionally, the postdoc researcher will gain knowledge in high
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organizing analyses - Performing statistical analyses - Writing publications - Student supervision - Taking part in one PhD supervision on complementary experiments (including laboratory word) - Untertaking
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determinants of brain aging and neurodegenerative diseases. The doctoral candidate will participate in data harmonization and will be responsible for statistical analyses (behavioral and neuroimaging
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, embedded systems, statistics, or AI; or hold an engineering degree in one of these areas. Below is the expected profile: 1. Scientific curiosity is paramount. 2. An ability to criticize, advance, and
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evolution of different statistical quantities. More specifically, the wave turbulence theory furnishes a wave kinetic equation (WKE), analogous to the Boltzmann equation, but where waves at different wave
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comments The candidate should have strong knowledge in evolutionary, functional and global change ecology, as well as proficiency in statistical analysis tools (notably used to study phylogeny and big
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region, focusing on farmers and all factors influencing their hedge management methods. The methodology consists of two main stages. The first involves the construction of a statistical model aiming at