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data. Develop and apply machine learning models to estimate uncertainty in climate impact statements. Analyse spatial and temporal patterns and trends in climate-extreme impacts. Cross-validate
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behaviour Mediterranean terrestrial gastropods as model organisms of island fragmentation due to Holocene ocean transgression Phylogeographic and systematic studies of molossid bats of the Old World
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on the complementary expertise and recognized excellence of its 22 research teams to contribute to the development of the fundamental aspects of computer science (models, languages, methods, algorithms) and to foster
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comprising computational biologists, bioengineers, and immunologists. The candidate will have access to advanced platforms for single-cell and spatial omics, 3D tissue modeling, bioreactors, and in vivo models
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teach undergraduate courses such as: GEOG 141: GIS I: Data Display and Manipulation GEOG 142: GIS II: Data Creation and Project Implementation GEOG 143: GIS III: Spatial Analysis and Modeling or other
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project (www.bigdatpol.com ), we are looking for a doctoral researcher with a strong interest in AI-driven analysis, modelling and decision support. About the project Crime and security constitute a
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on different temporal and spatial scales, using deterministic models and, if necessary, high-performance computing. SCIENTIFIC DISCIPLINARY SECTOR: GEOS-04/C-Oceanography, Meteorology and Climatology PHIS-05/B
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the colonial context constituted a condition of possibility for the implementation of organizational models previously confined to the realm of imagination. Furthermore, to what extent did this context, by
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of observed meteorological elements at all spatial scales. ICV also constitutes an important source of uncertainty in climate model outputs, especially regarding the occurrence of climatic extremes. Furthermore
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the bubble size and spatial distribution, making it possible to induce and study different flow regimes (from homogeneous to highly heterogeneous) and to observe the transitions between them. These controlled