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animal experiments (optogenetics, chemogenetics, calcium imaging and in vivo electrophysiology, modelling) aimed at understanding dendritic integration and its modulation by neuromodulatory inputs during
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uptake, stress tolerance, and species interactions. A case in point is optimal partitioning theory (OPT), a dominant paradigm of plant resource allocation that describes the ability of plants to adjust
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International Research Lab (IRL 2958), hosted at Georgia Tech Europe in Metz, in the THz Imaging & Nonlinear Dynamics team led scientifically by Alexandre Locquet. Contract: 36-month full-time CNRS doctoral
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, preferably MRI. Experience with tumor segmentation, radiomics, or deep learning–based image processing is expected. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow is required
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measurements: transepithelial resistance, muscle contraction Inflammation level measurements: RT-qPCR, ELISA, bioplex Immunocytochemistry, imaging and 3D reconstruction Flow cyrtometry Single-cell transcriptomic
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of dislocation stress fields (in collaboration with CEA Saclay). - Program the diffraction procedures to generate images comparable to Electron Channeling Contrast Imaging (ECCI) obtained using a Scanning Electron
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in some cultivars and, in this respect, is essential for determining the structure of the fruit. The formation of this tissue is a complex process involving a series of anatomical, physiological, and
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technologies. The project employs an interdisciplinary approach based on collaboration among specialists in text and image analysis, natural language processing, large language models, vision-language models
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. Cela ouvre la possibilité de construire une image plus complète de la régulation fluviale mondiale, de ses modes de gestion et de ses impacts sur les bassins versants
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multiphysics - Strong interest in experimental techniques and analysis of experimental data - Skills in programming and signal and image processing - Taste for interdisciplinary environment: physics, chemistry