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of Mixed Reality (MR) activities for school education. It is composed of an interdisciplinary team of experts from French, Danish and Turkish partners and 30 pioneering practising teachers. The project has
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perception with a comparative, cross-species (animal – human) component. The selected candidate will establish a non-human primate (NHP) model of scalp EEG signals related to perception, compare it to human
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optogenetic activation of the cochlea can lead to complete activation of the central nervous system. This result is essential for the development of oCIs, as it means that many of the channelrhodopsins
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neurodegenerative processes. Investigate neuronal activity and neural stem cell fate in both acute and persistent infection Construct a hamster brain atlas under infection with temporal, spa.al and single cell
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packages. Definition of research activities and tasks to be accomplished: - Coordinate and carry out fieldwork and ecological data collection at plot (flora, fauna, soil, moisture) and watershed scales
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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management, laboratory techniques (cell culture, biochemical analyses, immunohistochemistry, qPCR), animal model manipulation (rodents, micro-CT analyses, histomorphometry), scientific data analysis and
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the various research projects conducted by international partners. - activities: · Oversee the administrative management of the VECT-OH Initiative (including preparation and coordination of field missions
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criteria Level I animal experimentation, expertise in animal surgery, skills in pharmacokinetic analysis. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7275-HELMAR-006/Default.aspx
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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