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Field
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embodied intelligence. NCEI brings together leading robotics and AI groups with key partners from industry and the public sector to study how intelligence emerges from the interaction between body
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geotechnology, the dynamic and liquefaction behavior of Icelandic basalt sand and the associated seismic soil-structure interaction (SSI) characteristics are still poorly understood. The Ph.D. candidate will work
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public sector to study how intelligence emerges from the interaction between body, computation, and environment, across flying, ground, and aquatic robot configurations. Our mission is to chart a
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Imagine a world where food production is in harmony with natural processes, farmers nurture healthy soils, and biodiversity thrives. In contrast, current monoculture farming systems undermine
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complexity and design solutions for a sustainable bioeconomy. The four PhD projects are: 1. MISOWASP: Linking Molecular scale Interactions of Soil Organic matter with Water retention in Soil-Plant systems
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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