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)". Analyze and process the results within the framework of the team's research projects. Develop image analysis methods for single molecule Fluorescence In Situ Hybridization (smFISH). Perform experiments in
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audiovisual corpus analysis tools - Interest in visual approaches to political processes - Ability to integrate into collective and multidisciplinary research teams Website for additional job details https
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researchers with ample experience in MEG/EEG data analysis, BCIs, signal processing, deep learning for brain imaging analysis, biomedical statistics, dynamical systems and research on motor control. The lab has
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the mechanisms of neurovascular coupling (NVC) in the human retina — a key physiological process whose early dysfunction is linked to Alzheimer's disease. The team has developed a new cellular-resolution imaging
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on apical pulling forces. Meanwhile, Jacques Pecreaux Lab has investigated the forces positioning the spindle in the C. elegans zygote, through an approach combining image processing, modelling and
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project on the release of hormones, neuropeptides, and neurotransmitters by exocytosis, which is mediated by a vesicular fusion process whose mechanisms are well established. However, the mechanisms
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users, etc.) and implementation of procedures for surgery, implantation, viral infection, imaging and analysis. 2) Stereotaxy and implantation and viral infection surgery. 2) Handling, habituation and
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acoustic discretion of surface vessels and submarines. They will also collaborate with the IEMN to design the prototype and the experimental protocol to be tested in heavy fluid Where to apply Website https
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of the axonal cytoskeleton before and after mechanical stimulation, mainly using super-resolution imaging. Immunolabelling and viral infection on neurons. STORM and DNA PAINT super-resolution microscopy and
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, involving expertise in optics, electronics, image and data processing, chemistry, and biology. With the support of several European funding programs, the team is building a data science and machine learning