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developed using finite element analysis (FEA) between LMGC, ICube and LEM3 Labs to model the behaviour of Wharton's jelly samples in an ex vivo and in vivo context. Predictive tools, based on previous models
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by the CNRS, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical
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better understanding of the molecular determinants governing protein targeting to the chloroplast and antimicrobial activity of with the aim to develop predictive models that can correctly identify
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missions within the framework of this ERC: i) to develop new models for the geometry of the cosmic web, taking into account the bias of baryons, and ii) to implement “nulling” techniques to predict the weak
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postdoctoral researcher position in theoretical cosmology. The position is dedicated to developing a robust and efficient framework that incorporates a broad range of neutrino and dark-matter models, assessing
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and numerically predicting the infiltration of the final matrix by CVI. To this end, X-ray tomography acquisitions will be performed; the images will then be analyzed and processed to produce (i
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phenomena at stake and the accurate prediction of such complex multi-phase, multi-physics system is then necessary to optimize the system parameters entirely. The first step consists in designing and