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real-world field data. The central research question of this thesis is: How can Extreme Value Theory (EVT) and Bayesian Networks (BN) be coupled to build a predictive and dynamic model of NaTech risk
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Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case of dynamic sequential inference
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entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models”. The overarching aim of the project is to develop the next generation of statistical tools
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of Bilateral Cochlear Implants Duration: 6 months Maximum Duration Including Renewals: 12 months Objectives We aim at a functional version of a neuro-computational simulator of the cochlear implant user’s
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stimulated luminescence (OSL) dating of sediments and rocks, palaeoseismology, megaliths, Bayesian chronological modelling, archaeoseismicity, stable continental regions (SCR), Armorican Massif. Context and
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of BRGM's work is to provide geological knowledge and an understanding of phenomena linked to the soil and subsoil, with one overriding objective: to meet the challenges of environmental change through
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lattice orientation by EBSD or local chemical composition by EDX [1]. For instance, an original protocol based on Bayesian inference was recently co-developed by LEM3 and ICA to determine the single-crystal
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
Bayesian statistics, AI-assisted inverse problems, planetary remote sensing, and environmental monitoring. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09787 Requirements Skills
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-dimensional and functional data ”, led by Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to