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better subsurface understanding, uncertainty quantification, and robust forecasts suitable for emissions reduction, increased energy efficiency, and recovery improvements with large amounts of data
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on either uncertainty quantification or how uncertainty should be expressed to users. https://unit.aist.go.jp/deihrd07/keiyaku_koubo/2025-airc_0043.html [Work content and job description] ・Develop uncertainty
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data analysis. Make advances in one or more of: multimodal data fusion/joint inference; uncertainty quantification with realistic noise/measurement error; complex physics- and artifact-aware forward
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 28 days ago
models for modeling radionuclide migration in crystalline host rocks # Perform uncertainty quantification of machine learning and surrogate models with respect to traceability, robustness and
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, Uncertainty quantification, Approximation Theory, Applied Probability and Bayesian statistics, Optimal Control and Dynamic Programming. Appointment, salary, and benefits. The appointment period is two years
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conditions. Particular emphasis will be placed on moving from fault detection to prognosis taking inot account uncertainty quantification. Beyond theoretical contributions, the project aims at direct impact on
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The Department of Mechanical Engineering at the University of Texas at Dallas is seeking highly qualified candidates for a Postdoctoral Researcher position in uncertainty quantification in experimental
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and increased uncertainty in life and non-life insurance modelling. data-driven prediction of insurance premiums and associated quantification of uncertainty. Qualifications and personal qualities
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conservation and spans a range of activities from exploratory analysis, visualization, and discovery to prediction, validation, quantification of uncertainty, and inference. The Statistical Scientist will join a
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tracking error. The aim is decision-grade uncertainty quantification (UQ) and principled data-driven parameter selection. Hence, the project will develop automatic portfolio rebalancing driven by UQ analysis