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tools for the processing of signals or images acquired with biomedical sensor networks (cardiology, neurosciences) or in geosciences (seismology and marine ecology), but also in wireless communications
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the experimental setup, synchronising the cameras, optimising the illumination, and developing image-processing methods to extract propagation pathways and velocities. Several plant species and different branching
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cellular changes. Advanced imaging techniques, including structural and functional-MRI, developed by Dr. Emmanuel Barbier (GIN director), will be used to optimize rSynES and monitor neuronal changes over
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growth at grain boundaries; (iii) the development of methods for in situ pH monitoring; and (iv) data processing (image analysis). Keywords: microfluidics, bioprecipitation, porous media, MICP
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processing (image analysis); (iv) the results will be used as input parameters for reactive transport modeling. Keywords: microfluidics, micro-model design, heterogeneous porous media, leaching, reactive
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biological systems. In particular, IEMN develops advanced technologies for electrophysiological recording and next-generation brain–computer interfaces. The Lille Neuroscience & Cognition Center (LilNCog
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objective will be to adapt tissue-clearing techniques for multimodal nonlinear imaging while preserving both the structural integrity of the biological specimens and the integrity of the optical signals
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for major observatories. The center comprises approximately 30 researchers and faculty members, 20 engineers, technicians, or administrative staff, and 30 PhD students, postdocs, or fixed-term contractors. We
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these processes requires AI and bioinformatics methods able to integrate heterogeneous, high-dimensional data. The ShadowEV-GBM project brings together spatial omics, metabolomics/lipidomics, molecular profiling
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• Support in maintenance of the Platynereis culture • Dissemination of results in oral and written form. • Activities • Calcium imaging, data acquisition and analysis • Opto/Chemogenetics at cellular and