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Field
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uncertainty about those conclusions (uncertainty quantification). Bayesian inference and experimental design methods are increasingly used in scientific practice, and offer appealing theoretical guarantees when
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 14 days ago
-sensitive modeling, high-fidelity experimental characterization, and uncertainty quantification capabilities for metallic aerospace materials, with emphasis on additively manufactured (AM) metals
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learning, AI, cognitive science, uncertainty quantification, probabilistic methods are encouraged to apply. For eligible students the studentship will cover Home tuition fees plus an annual tax-free stipend
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models can support energy-system modelling and optimization, including applications such as prediction, surrogate modelling, uncertainty quantification, and decision support. Coordinate the joint research
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modeling and statistical AI: probabilistic machine learning, Bayesian methods, uncertainty quantification, stochastic modeling, and statistical learning. · Optimization for AI: mathematical optimization
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closely related field. Strong background in structural reliability, probabilistic modelling, stochastic dynamics, uncertainty quantification, or related areas. Experience in developing and implementing
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 14 days ago
and its spatial variability; use of precipitation coherence as a validation and uncertainty-quantification pathway for high-resolution soil moisture from NISAR and future L-band missions (e.g., ROSE-L
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uncertainty quantification. Publication: you prepare scientific publications and present the results at international conferences. Access and application requirements: Successfully completed academic university
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You plan and execute research in the area of uncertainty quantification for fire safety engineering; You support your team members working in this research area; You support your team members in
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optimization models. Investigate how tabular foundation models can support energy-system modelling and optimization, including applications such as prediction, surrogate modelling, uncertainty quantification