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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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within a top-tier international environment. The goal of the proposed project is to unravel new mechanisms of ovarian regulation in mammals involving the ovarian epithelium during development, ageing and
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Master's degree in Materials Science and/or Computational Methods in Mechanical Engineering (or a closely related field). The successful candidate should demonstrate a strong background in numerical methods
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transport. Qualification. Required: Degree in geosciences, physics, chemistry, engineering or fluid mechanics. Interest in fabrication techniques, experimental development, and multidisciplinary work
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(101125437), running from 01/12/2024 to 30/11/2029 2 PhD students to be recruited Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UMR5248-PETKRA-014/Default.aspx Work Location(s
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Description The PhD candidate will contribute to a fundamental research project in cognitive neuroscience aimed at improving our understanding of the neural mechanisms involved in human decision-making during
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. The PhD student will be in charge of analyzing the full data set in order to finalize the background model, study the two-neutrino double-beta decay of 82-Se, and search for neutrinoless modes. Where
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materials. This PhD project is part of an original research-creation initiative combining engineering, life sciences and design. Its objective is to develop innovative experimental models to investigate
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liquid solvent film to control growth, offers an innovative approach to overcoming these challenges. This PhD thesis aims to understand the fundamental mechanisms of 3C-SiC growth via TSM by studying
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letter outlining the candidate's motivation; academic transcripts from the first and/or second year of the Master's programme, or from an engineering school. Website for additional job details https