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Field
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) learning numerical methods for wave-equation-based processing, imaging, and inversion. Wave phenomena are ubiquitous in science, and they extend to objectives ranging from global Earth discovery, to natural
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containment. The prohibitively high computational cost of such simulations necessitates the development of efficient and robust surrogate models for general GCS modeling tasks, especially when inverse modeling
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, interpretability, and robustness for physical systems; and inverse problems, co-design, and constrained learning under physical laws. • Digital Twins and Autonomous Physical Systems: Multi-scale digital twins
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
systems) — intermediate to advanced level Sensor signal processing and state estimation (pressure/deformation sensors, inverse-problem solving) — intermediate level, to be consolidated on the job Languages
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/inverse probability weighting, and other data wrangling techniques. Other required skills include the handling of private and protected health information, discussion of results and methods with other
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
30 Jul 2026 Job Information Organisation/Company Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association Research Field Other Researcher Profile Recognised Researcher (R2) Established
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10 Jul 2026 Job Information Organisation/Company Institute of Geological Sciences, Polish Academy of Sciences Department Research Centre in Warsaw Research Field Geosciences » Other Researcher
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Postdoc (f/m/d) Mechanical Characterization and Materials Assessment for Nuclear Applications / P...
Area of research: Scientific / postdoctoral posts Starting date: 01.11.2026 Job description: Postdoc (f/m/d) Mechanical Characterization and Materials Assessment for Nuclear Applications With
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of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from Mathematics (Inverse Problems), Computer Science (Machine
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Machine Learning and Causal Inference (CTML) at UC Berkeley is an interdisciplinary research center for advancing, implementing, and disseminating methodology to address problems arising in public health