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characteristics of sick individuals? The approach is resolutely multidisciplinary, combining sociology, demography, economics, and epidemiology, in close collaboration with clinician-researchers. This project is
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and to characterize interactions with fire regimes. Ultimately, these results will also contribute to a combined paleo-modeling approach at the core of the RETROPEST project (https://anr.fr/Projet-ANR
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motivated postdoctoral researcher to develop and apply imaging-based and computational approaches to identify predictive nuclear signatures of cell fate. The project combines experimental and quantitative
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to characterize new mechanisms of epigenome stability, combining experimental and computational analyses. Research Environment The laboratory is part of the Unit of Genome Integrity and Cancers (UMR9019
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recent PhD in Chemistry, combining: • Strong theoretical and practical expertise in organic/organometallic synthesis (laboratory experience required). • Scientific curiosity for interdisciplinary
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the development and combination of the different tools for Raman and synchrotron X-ray spectroscopy (diamond-anvil cells, fused silica capillaries, and hydrothermal reactors), the solubility, molecular speciation
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reaction. The researcher will: - Prepare Fischer-Tropsch catalysts; - Characterize catalysts using a combination of physicochemical methods (XRD, FTIR, TPR, XPS, imaging); - Conduct Fischer-Tropsch reactions
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experiments: Combining gastruloids at different stages of differentiation to study the impact of heterogeneities on EMT transitions and collective behaviors. • Spatiotemporal activation of TBRA: Use
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and the endoplasmic reticulum. The project will combine approaches in cell biology, biochemistry, and advanced imaging. The candidate will contribute to the development and optimization of experimental
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. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform