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experimental workflows A sound understanding of demagnetisation procedures, magnetic-property measurements, data processing, uncertainty, quality assessment and interpretation Experience with quantitative data
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latency, packet loss, and other uncertainties. The central research objective is to develop a passivity-based, controller-agnostic safety layer that enables human and AI-generated control commands to be
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Postdoc (f/m/d) Mechanical Characterization and Materials Assessment for Nuclear Applications / P...
approaches, provide a natural bridge between experiment and mechanistic understanding. Data-driven methods, for instance for inverse parameter identification or uncertainty quantification in fracture mechanics
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
. Data-driven methods, for instance for inverse parameter identification or uncertainty quantification in fracture mechanics datasets, are not an end in themselves, but a compelling extension where they
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, robustness and uncertainty of different methods Communicate and discuss results with stakeholders to integrate the findings into water management practices Interpret, publish and present findings in peer
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Experience in one or more of the following areas: object detection and segmentation, multi-object tracking, time-series analysis, probabilistic modeling and uncertainty quantification, real-time or streaming
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established research team for the ERC Advanced Grant project “Equilibrium Learning, Uncertainty, and Dynamics. (Please find a German version below the English text.) The Chair of Decision Sciences and Systems