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to the most recent centuries. The second, more advanced phase will focus on investigating the climatic causes and associated external forcings. This will initially involve large-scale analysis using General
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, including survival. The candidate will be able to complement these studies by integrating datasets and determine the response to treatments The candidate should have experience in omics data analysis and will
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
-supervised by Quentin Peyron (export in continuum and soft robotics modeling, design and singularity analysis), and Sebastien Briot (expert in parallel rigid and continuum robotics modeling and singularity
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. The nuclei studied in this project will be measured at this campaign. In addition to data analysis, your PhD will include instrumentation developments around the new STAR spectrometer. The new STAR
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
environment for managing large ensembles of numerical simulations, applied to sensitivity analysis [Terraz et al., 2017] and meta-model learning [Meyer et al., 2023]. The Datamove team has also contributed
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: concentration profile analysis by Secondary Ion Mass Spectrometry (SIMS), transmission electron microscopy (TEM), Raman spectroscopy, and X-ray absorption spectroscopy. This thesis is part of the European FIGARO
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old. The PhD will be supervised by Thibaut Louis, co-lead of the data analysis for the Simons Observatory Large Aperture Telescope, and co-supervised by Léo Vacher, co-lead of the characterization
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, and quantitative image analysis tools. Microplastics have become ubiquitous environmental contaminants and are increasingly accumulating in living organisms. Their interactions with immune cells raise
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intervention to prevent diaphragm atrophy: longitudinal analysis via MRI Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8263-ISAVIV-007/Default.aspx Requirements Research FieldBiological
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ecology. A strong quantitative mindset is essential, including good skills in data analysis using R, Python or similar tools. Experience with trophic ecology and Bayesian approaches would be an advantage