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in Urban Informatics & Smart Cities and Doctor of Philosophy. LSGI has a very strong research programme that encompasses research activities in the areas of urban informatics, spatial big data
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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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) Scale up forest dynamics predictions from stand to landscape level. As the PhorEau model cannot be run in a fully spatially explicit manner at large spatial scales, the PhD candidate will interpolate
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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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side by side with private companies and actors from the healthcare sector. Several key infrastructure facilities are available, including specialized laboratories for spatial omics, mass spectrometry, flow
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combining machine learning and biophysical modelling to model embryo development from spatial transcriptomics data. Activities : - design of a new mathematical method - monitoring and study of publications
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. The objective is to combine ultra-high-precision spatial localization, reduced acquisition times, and access to key photophysical parameters enabling characterization of the local environment of fluorophores
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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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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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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