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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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the consequences of climate change and strengthen the resilience of mountain areas. The thesis will be based on a multidisciplinary approach combining statistical analysis, level-meteorological modeling, and machine
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of water vapour, clouds and trace species. The lack of direct wind measurements is now recognised as a key limitation in advancing Mars Global Climate Models and in interpreting the planet's past climatic
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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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caused systemic imbalances in ecosystems shaped over 66 million years. Organizations, as key structures of modern societies, drive demographic growth, biodiversity loss, resource depletion, and climate