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structure of protein complexes formed in the presence of different surrounding lipids using cryogenic electron microscopy (cryoEM). To achieve this, various molecules can be used to "extract" the receptors
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and localization of a potential fault using the Matched Field Processing (MFP) method, based on the reconstruction of a response model of the inspected structure from the modal parameters predicted by
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an atomistic model of the electrode/electrolyte interface in the batteries developed by ITEN, at the anode and at the cathode. Both electrodes are based on lithium-based transition metal oxides. These models
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are widely used in modern life due to their strength and durability, with applications ranging from construction to packaging. However, their long-lasting nature also poses environmental challenges, as they
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over the course of the project. References: - Deneu B et al (2021) Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. PLoS Comput
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and assembly) (3) the study of their structure and their properties and (4) analytical and numerical modeling. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5031-CORAME0-048
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for: • Contributing to various tasks related to the modeling of lipids and membrane proteins involved in lipid droplet biogenesis. • Developing and implementing the POP-MD algorithm in the OpenMM software
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coefficients, and structure–property relationships. • Collaborate closely with experimental partners for model validation. • Contribute to publications, reports, and dissemination of project results
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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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. This includes the controlled synthesis of nanocatalysts, their advanced characterization (TEM, XRD, operando spectroscopies), and analyzing the relationship between their structure and catalytic activity