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activate spinal networks. This PhD project aims to investigate the underlying mechanisms of rSynES-induced recovery using a mouse model of cervical SCI, through longitudinal assessment of molecular and
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, biophysics, biochemistry, and molecular modeling, developing experimental and numerical approaches for the study of complex molecular systems. Within this institute, the Biophysics of Complex Systems team
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with a background in fluid mechanics or thermal engineering. Given the scope of the research project, a strong interest in both experimental work and numerical modeling is essential. Familiarity with
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, numerical process simulation, and advanced characterization techniques (synchrotron, TEM, EBSD), will be implemented. The ideal candidate will hold a Master's degree or an engineering degree in Materials
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analysis, together with technical support and training opportunities. Additional computational resources are available through the Scientific Center for Numerical Modeling (PSMN) at ENS de Lyon, which
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). • Electronic transport measurements and charge sensing. • Numerical modelling and data analysis. The ideal candidate will demonstrate strong experimental skills, scientific autonomy, and a willingness to work at
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to identify resilience biomarkers and model future trajectories of reef microbiomes Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7159-DELDIS-002/Default.aspx Requirements Research