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- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
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obtained from ex vivo robotic tests will inform multiscale numerical models of tissue mechanotransduction, calibrated using in vivo murine gait analysis and behavioral tracking provided by IRMB
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for the conversion of either model compounds in gas phase and of different silicone materials. The fresh and used catalysts will be characterized by different techniques available at IRCELYON. The CARES project funded
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homologous recombination and its intersection with the spatial organization of chromatin in the nucleus. They use high-throughput genomics approaches in the model organism S. cerevisiae. They are looking for a
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results and absence of an explanatory condition) taken as a model of medically unexplained symptoms in adulthood. Analyses will be conducted using data from the French CONSTANCES population-based cohort
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University. The contract staff recruited will be integrated into the ModES 'Modelling and Spectroscopy' team and will work directly with Dr Morgane VACHER. Where to apply Website https://emploi.cnrs.fr
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 3 days ago
multi-expert segmentation databases. The postdoctoral fellow will focus on integrating segmentation variability into deep learning models, with the goal of assessing prediction reliability and enabling
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loss. In this project, we aim to validate the robustness of the central compensation in optical hearing on animal models that reproduce human hearing impairment. We will also study the underlying
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biology OR virology A solid background in virology, transcriptomics and imaging Hands-on experience with experimental animal and/or iPSCs models Technical expertise in working in BSL-3 environment A
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analysis (Higgs physics and searches for Beyond the Standard Model phenomena). The group is in charge of the construction of the outer barrel mechanical structure of the CMS tracker, the integration
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Process: designing, preparing, shaping and characterizing materials in order to discover, control and optimize specific functions. The ICMCB carries out fundamental research on model materials and/or