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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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, network-based analysis, unsupervised learning and interpretable AI. The project leaves room for methodological exploration while remaining closely connected to biological interpretation, experimental
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
on this topic, implement and test prototypes, and prepare scientific communications. Research activities, namely: Literature review Prototyping and experimentation Analysis of results Communication Where to apply
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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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emission spectroscopy and Langmuir probes, coupled with ex situ analysis (SEM, TEM), will be employed to obtain a comprehensive understanding of the physical and chemical properties of the coatings and the
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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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experimental data acquisition system (LabView, etc.) and programming skills (Python, etc.) for data analysis would be a plus. Familiarity of cryogenics is not necessary. Intrinsic orientation for research and
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, or supervised/unsupervised learning depending on the available data) using spatial analysis and geographic machine learning tools (e.g., scikit-learn, PyTorch/TF + GeoPandas/Shapely) - Implementing a semantic
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isotopic fractionation in various settings, including active hydrothermal systems The work will therefore comprise a laboratory analysis phase, followed by the modeling of results within the relevant
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remains open for the later stages of the PhD. During this PhD, the student will acquire highly valued skills in climate modeling, climate simulation analysis, and will contribute to expand the knowledge