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, IINS is one of the major players in the neuroscience community in Aquitaine. Ultrastructure and 3D model of dopaminergic synapses. Activities: Preparation of biological samples (synaptosomes, striatum
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and use RIXS interferometry at ligand K-edges, e.g. the p-block elements As, Se, and Br, in order to investigate new 3d- and 4d Mott and Cluster Mott insulators. The project will represent a significant
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systems are still struggling to convey compelling tactile sensations for 3D interaction. The project ADVHANDTURE aims at introducing an original computational approach for handling multimodal tactile
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of these materials and structures. This approach enhances both predictive simulation and inverse design strategies, optimizing the composition and arrangement of materials in the 3D design space. Within
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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | 12 days ago
, and is still one of the bottlenecks to allow the adoption of higher order techniques as operational tools in an industrial environment. For realistic applications involving complex curved 3D geometries
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arrangement of particles will be simulated with the help of CEMHYD3D (NIST): - creation of 3D matrix basing on the granular distribution, placing randomly in a finite cubic volume single phase clinker
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projects aim to gain a better understanding of how unicellular photosymbiosis works by combining subcellular microscopy approaches (3D electron microscopy). This thesis is funded by a European ERC
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-confidence 3D structures of GA transporters and their complexes (using AlphaFold2/AF2-multimer, AF3 Server, DMFold, DeepMSA2, amongst others) -Predict the spatial position of the GA ligand in the internal
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generators concepts. The research plan includes: Development and implementation of a computational methodology integrating fluid–structure coupling in 2D and 3D unsteady flow regimes Cutting-edge experimental
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metastases. spaXio combines cutting-edge methods like spatial multi-omics, 3D tumoroid models, and AI-powered data analysis to uncover how metastatic niches form and how they might be targeted therapeutically