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                uncertainties (delays, resources, failures) using various methods, including Bayesian approaches. 3. Optimize the workshop configuration, taking into account scenario variability, by relying on the surrogate 
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                ) : Aucune Candidatures : CV, lettre de motivation et éventuelles lettres de recommandation à envoyer par e-mail avant le 26/09/2025 à pupillo@unistra.fr , Cc: ibarbara@unistra.fr en indiquant en objet Réf 
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                with Bayesian/ML methods is a plus Proactive, collaborative communicator with sound statistics, problem‑solving skills, and a commitment to research integrity and open, reproducible science We offer 
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                Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago. The work will apply state-of-the-art three-dimensional atmospheric chemistry and circulation models, together with advanced statistical techniques (optimal Bayesian, Markov Chain-MonteCarlo, etc.) to solve 
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                , clustering analyses, propagating location and other uncertainties...) of mid-ocean ridge catalogs, using standard, Bayesian and machine learning techniques. ⁃ Implement methodologies that improve estimates 
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                of data matrices (using parsimony and Bayesian phylogenetics); - Conducting multivariate analyses using R. LanguagesENGLISHLevelExcellent Research FieldBiological sciencesEnvironmental science » Earth 
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                methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon 
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                associated with phenotypic (biomechanical and metabolomics) traits. Estimate locus-specific effect sizes and quantifying genetically-driven phenotypic variations. Develop Bayesian models and/or deep learning 
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                influenced corrosion (MIC) in marine environments. It uses AI-supported models, Bayesian data fusion, and real-time sensor data integration. Your responsibilities include: Development of a digital twin (DT 
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                has a strong background in control engineering, with documented expertise in optimal control, adaptive control and online optimization, stochastic systems, Bayesian inference, and state estimation and