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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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of the landscape over time. The LANDIS-II forest landscape disturbance and succession model will be used to perform simulations based on palaeoecological data. The student will collaborate with project researchers
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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