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bietet eine Promotionsstelle (E13) am Lehrstuhl für Decision Sciences and Systems bei Prof. M. Bichler im ERC-Projekt „Equilibrium Learning, Uncertainty, and Dynamics“. Gesucht werden Absolventinnen
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that learn constitutive parameters from a single informative test through Bayesian optimization, together with quantification of measurement and model-form uncertainty. Approximately half of the effort
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under Uncertainty - Decision-making under uncertainty - Decentralized planning and coordination for multi-agent systems b. Mapping and Scene Representations - Dynamic Scene Graphs modelling uncertainty
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generated by collaborators. The candidate will use surrogate modelling and data-centric approaches to complement simulations, incorporating uncertainty to evaluate system resilience, and developing useful
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engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow to develop physics-informed AI models for the discovery of
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configurations that minimize acquisition time and maximize measurement quality, (b) estimating measurement uncertainty due to camera defects, (c) accelerating 3D tomographic reconstruction from multiple 2D
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, systems engineering, geometry assurance, automation, or model-based development. The project addresses how advanced digital infrastructure can be used to reduce uncertainty, risk and variation in
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design, operation, control, and decision-making under uncertainty in processing systems. Research applications may include sustainable chemicals, pharmaceuticals, and fuels, resilient energy systems
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | about 2 months ago
? No Offer Description Are you fascinated by application-oriented research in mathematics and eager to work at the interface of numerical optimization, optical design, and uncertainty quantification
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
products); characterization of soil-system memory and its spatial variability; use of precipitation coherence as a validation and uncertainty-quantification pathway for high-resolution soil moisture from