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Targeted Project Complexflows, which aims to promote and structure the interactions of mathematics with other sciences around current issues. The thesis will be co-directed by F. Radjaï (LMGC, ED I2S 166
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10th November 2025 Languages English English English Do you want to develop methods in the interface between AI and forest ecosystems? PhD scholarship: methods for characterizing forest structure
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analysis. Basic as well as applied research are conducted on some of the major challenges facing society, such as pollution and pollution control mechanisms, management of land, soil, water, air and
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work on developing improved methods using deep learning with 3D point clouds to characterize forest ecosystem structure and function. 3D point clouds from LiDAR and photogrammetry provide an excellent
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and magnetic fields. A crucial aspect lies in the interpretation/modelling of the results. In this role, you will get to work with a variety of devices structures, with an emphasis on quantifying
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. The doctoral candidate will play a central role in advancing the system from pulsed to continuous operation. The project is structured around two main objectives. First, the candidate will implement controlled
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interact and communicate — insights that are essential for understanding the cellular origins of brain disorders. Despite major progress in genetics research, we still don’t know how genetic risk factors for
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plant genetic mechanisms that coordinate mycorrhizal interactions with plant P and water status, root system development, and soil microbial communities. Using maize and rice as models, we will: Determine
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, model data integration, data mining, land surface models, ecosystem fluxes, isotope methods, biodiversity, organismic interactions, biological mineral formation, palaeoclimatology, micropalaeontology and
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interact and communicate — insights that are essential for understanding the cellular origins of brain disorders. Despite major progress in genetics research, we still don’t know how genetic risk factors for