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Technische Hochschule Brandenburg | Brandenburg an der Havel, Brandenburg | Germany | about 12 hours ago
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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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 11 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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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
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contribute intellectually to new research directions within the SAGE Lab. Preferred Experience with multimodal sensing, computer vision, time-series analysis, uncertainty quantification, model calibration
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transitional flows. We welcome a broad range of related expertise, including but not limited to fluid-structure interaction, uncertainty quantification, and inference methods. Exceptional candidates
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-universite.fr The project focuses on CAP 1.6 AI for Industry, which aims to develop methods for explainability and uncertainty quantification to make AI usable, auditable and truly operational in risk-related
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candidate will join the Scientific Machine Learning group at TDB and SciLifeLab. The group develops theory, methods and software for data-driven science, with a current focus on uncertainty quantification
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. The candidate will work at the intersection of climate resilience assessment, life-cycle modelling and uncertainty quantification. The successful candidate will collaborate with three research groups within
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for classifying user activity in office buildings using power consumption data, with a focus on probabilistic approaches such as Gaussian Processes that provide principled uncertainty quantification