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and spatial transcriptomics and epigenomics. More details: https://research.pasteur.fr/en/team/cellular-plasticity-in-age-related-pathologies/ Candidate profiles We are seeking highly motivated
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responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and
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been approached in terms of tourist carrying capacity, with managers of protected natural areas seeking to identify limits to the development of tourism in certain areas. This concept was quickly
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stress within an epithelial tissue. Characterize transcriptional changes during epithelial morphogenesis. Develop methodologies to link gene expression, systemic factors, and tissue dynamics. Develop
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candidate will join the Magneto-optics team at the Laboratoire National des Champs Magnétiques Intenses in Toulouse (LNCMI-T). He/she will develop the instrumentation to observe for the first time traveling
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quantify the evolution of the thermal structure of the Aquitaine Basin's crust and mantle using the geological record. Geophysical data, the subsidence history of sedimentary basins, and thermal-mechanical
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this case, the external neutron source that maintains the reactor core thermal power is generated by the interaction of a high-intensity proton beam with a spallation target. However, the design, development
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this case, the external neutron source that maintains the reactor core thermal power is generated by the interaction of a high-intensity proton beam with a spallation target. However, the design, development
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models are deeply rooted in real-world biological data. The collaborative approach allows for the development of predictive models that bridge the gap between theory and experiment, with a focus on high
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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