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Field
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", on ecocriticism, on ecopoetics, and on the links between propaganda and ecology. -Coordinating an "ECOPROP Imagier" which will gather a catalog of images and metaphors used in the media and/or in literature
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sphygmomanometry and/or arterial catheterization), - In vivo evaluation of blood flow in the microcirculation in mice (laser speckle contrast imaging), - In vivo measurement of cardiac and aortic dimensions and
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, but are not limited to, neural coding in the visual cortex, multimodal information processing, state-dependent processing, visual perception, development of imaging tools for in vivo neuronal recordings
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reconstructing the super-resolved image is formalized as an inverse problem which is regularized by introducing suitable sparsity constraint. In our team, we have recently proposed both model-based and data-driven
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. Activities – Maintenance and monitoring of IT and experimental systems – Generation of analysis pipelines for electrophysiological recordings – Generation of image analysis pipelines for 3D reconstruction
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Western blotting Experience with imaging techniques is considered an advantage Strong communication and organizational skills Proficiency in written and spoken English is required We offer Multilingual and
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facilities, including a fully equipped animal facility, a flow cytometry facility, a sequencing facility, and an imaging facility. Available position: Aone-year post-doctoral position (possible 2 years
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an imaging facility. Available position:Aone-year post-doctoral position (possible 2 years extension) is open in the team led by Pr Lina BENAJIBA, a physician-scientist focusing on target
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Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085) | Rennes, Bretagne | France | about 1 month ago
such as molecular biology, flow or spectral cytometry, immuno-histochemistry, inflammatory signaling pathways, cell culture, imaging, and multi-omics analysis. Knowledge of environmental exposures and their
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speeds and reduced energy consumption, contributing to more energy-efficient devices for image, sound, and biomarker recognition. The consortium brings together seven partners, including the CNRS (MAJULAB