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Description Understanding and modelling the spatio-temporal variability of radiative and thermal conditions in cities is essential for large-scale solar integration and climate-resilient planning
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or research centers in the field of transport and energy, contributes significantly to the advancement of knowledge on these critical issues, both for the climate and the environment. To respond
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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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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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: a) Inventory and mapping of CES through geographic analysis. b) Participatory mapping and surveys. c) Temporal modeling to anticipate future developments. d) Development of an evaluation matrix
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implementing models that integrate ecological dynamics, species traits, phylogenetic trees, and economic discounting; ● Devising Bayesian or POMDP frameworks to handle uncertainty about species interactions
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improve the parameterization of rheology integrated into current large-scale sea ice models, particularly those used for real-time forecasting and/or in the context of coupled climate simulations
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/ climate, risk engineering, data & AI (modelling, simulation, decision support), GIS and spatial analysis, analytical chemistry or toxicology, risk economics / management, law & governance, regulation
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necessary data to extend species distribution modelling to the NW Mediterranean basin and to future climate. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8222-KATGUI0-008/Candidater.aspx
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Models (JSDM) will be used to predict community changes and species presence by the end of the century. Based on data on local and scientific knowledge, the recruited person will have to define four key