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the framework of the ANR EmergeNS whose aim is to understand, through mathematical and computer models, the role that autocatalysis, multistability and spatial heterogeneity may have played in the emergence
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, manufactured using a hybrid PIP (Polymer Impregnation & Pyrolysis) - CVI (Chemical Vapor Deposition) process from a ceramic fiber preform. This process requires optimization, whereby the structure of the porous
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approaches to model polarization. The aim of the project is to develop methodological tools to characterize and exploit the polarization information extracted from bivariate signals (i.e. two-dimensional
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) or electrodes in lithium-ion batteries samples as the project advances. The results of the ptychography will be correlated with both chemical as well as structural three dimensional analysis of the same sample
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. The objective is to extract structural and metabolic biomarkers enabling precise spatio-temporal modeling of tumor evolution, for diagnosis, prognosis and personalized therapeutic follow-up. Develop deep learning
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Modelling the oil market: A first output of this project
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19 Sep 2025 Job Information Organisation/Company CNRS Department Sciences et Ingénierie, Matériaux, Procédés Research Field Chemistry Physics Technology Researcher Profile Recognised Researcher (R2) Country France Application Deadline 9 Oct 2025 - 23:59 (UTC) Type of Contract Temporary Job...
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called MCTPs (Multiple C2 domains and Transmembrane region Proteins) forming a tightly constricted tubular ER structure surrounded by a PM tube. PD operates as critical routes for communication and
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contribute to various aspects of the project, such as: - developing new theoretical approaches to model electrode/electrolyte interfaces - performing molecular simulations, such as molecular dynamics
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together CNRS researchers and ENS-PSL faculty members. The successful candidate will join the Deformation and Structures team, which specializes in the observation and modeling of tectonic processes, from