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of an emerging, yet still largely unexplored, alternative route for their production with the aim of capturing and immobilizing toxic molecules. Objectives Develop and test Metal-Organic Framework (MOF) type
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responsible for conducting and developing super-resolution microscopy (dSTORM) experiments for the characterization of biological nano-objects at the nanoscale, particularly extracellular vesicles of various
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Objects”) led by XLIM, which strengthens the experimental component of the ANR project OPV4COM (“Organic photovoltaics for sustainable indoor IoT by simultaneous energy harvesting and optical wireless data
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the perspective of fundamental properties, where the dimensions of an object become as small as certain characteristic distances (coherence length, mean free path, etc.). The third area extends the concept of "soft
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, using the ModLoc approach developed by the group (Nature Photonics, 2021). A key aspect of the project will be the implementation of an original detection strategy based on oblique plane re-imaging
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and implement Bayesian graph neural networks and convolutional neural networks as surrogates for high-fidelity biomechanical models Quantify and propagate uncertainty, and develop strategies for model
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will make it possible to model these complex relationships and improve the accuracy and robustness of avalanche detections. The main objective of this postdoctoral fellowship lies in studying and
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intelligence, and multimodal learning. The main objective of this position is to develop novel generative AI methods for computer vision applications, with a particular focus on Diffusion Models and Vision
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of technological innovation aimed at sup- porting farmers by alerting them of imminent lambing events. Its objective is to provide a reliable predictive system based on sensors and artificial
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on extending methods for detecting the pose of an object (possibly occluded, even if only partially) held by a person to 360-degree robot vision, in line with mesh detection and biomechanical variables