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of the PACMAM ANR project: PACMAM aims to enable practical audits of black-box in-vivo models. To that end, it will address to key challenges: first by devising request- efficient solutions that requires
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of territories, etc.). Modelling Urban Territorial Transformations of the Baltic Region: A Spatio-Temporal Computational Approach. (What is an Integrating Mathematics, Remote Sensing, and Geo-AI Simulation?) In
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combining physical chemistry and process engineering. The experimental and theoretical work carried out within this research area has led to an original approach that enables the understanding and modelling
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for modelling protein structures and protein-ligand (metabolite) interactions. Using multi-scale molecular models, we aim to predict the structural features of gibberellin (GA) transporters, a key phytohormone
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to the industrial recovery and reuse of these critical elements. More specifically, the proposed mission will explore two avenues: - optimization of Rh solubilization during dissolution of model
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: - using experimental data to develop a kinetic model; - modelling the pilot-scale reactor for plasma-assisted NH3 synthesis; - intensifying the reactor and extrapolating to develop the industrial-scale
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University, is recognized for its expertise in artificial intelligence and formal methods In this stimulating academic context, we will focus on the problem of explainability of artificial intelligence models
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, cell culture, structural modelling and optogenetics Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8197-VALHER-211/Candidater.aspx Requirements Research FieldNeurosciencesEducation
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of transportation and energy. Its experimental and numerical modeling activities focus on various complex and multiphysical flows, including turbulence, two-phase flows, combustion, and thermoacoustics. Research
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systems. A priority is given to the solubility of H2S in silicate melts and the modelling of multicomponent fluids in highly pressurized, H2-rich systems. • conduct, analyze and interpret experimental