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analysis of data from the ATLAS experiment. The L2IT team plays a leading role within the ATLAS collaboration in the reconstruction of charged particle tracks using geometric deep learning (GDL). The person
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analysis, scientific computing, algebraic topology and non-linear analysis. The activities may include: The development of new polytopal numerical methods The conception of discrete complexes (de Rham and
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), online analysis, and neurofeedback to participants. • Functional testing, optimization, and documentation of the software. • Cross-analysis of experimental data to validate the robustness of algorithms
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). • Carry out acquisition, processing, and analysis of behavioral, EEG, and fMRI data. • Ensure ethical compliance of experimental activities and guarantee adherence to consent and confidentiality procedures
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. In this context, the CNRS (UMR5175 Centre d'Ecologie Fonctionnelle et Evolutive) is collaborating with SNCF-Réseau and EGIS to carry out research work enabling a rigorous and quantitative assessment
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to be fast in practice, but the framework of worst-case analysis is unable to explain this observation. Different analysis frameworks have been proposed to explain the good performance of the algorithm
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in the analysis of trade unions, industrial relations systems (legal frameworks, union cultures, organizational structures and functioning). • Skills in questionnaire design and quantitative analysis
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communities to environmental stresses and the cascading effects on ecosystem functioning. - Setting up experiments - Ecophysiological measurements in the laboratory - Statistical analysis of collected data
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The objective of the proposed research collaboration agreement is to go
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researcher will be responsible for carrying out actions 1-Analysis of the biodiversity of phytoplankton communities in high-altitude lakes in relation to the effects of climate change and 4-Assessing the links