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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 14 days ago
models for modeling radionuclide migration in crystalline host rocks # Perform uncertainty quantification of machine learning and surrogate models with respect to traceability, robustness and
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with chemists, engineers, and data scientists will enable the creation of a robust, high-throughput framework for future catalyst and layer development and efficient optimisation. The following topics
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to study grid stability, fault propagation, and recovery dynamics. Analyzing control and protection strategies using high-resolution time-domain models. Developing dynamic models for grid-forming and grid
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technologies. Excellent command of the English language is required; German language skills are not required. Where to apply Website https://uol.de/job889en Requirements Research FieldComputer scienceEducation
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agroecosystem model simulations. The successful candidate will play a key role in developing robust landscape-scale digital twins and advancing data assimilation techniques for agricultural and environmental
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particle therapy (COSYLAB JSC, Control System Laboratory, Ljubljana, Slovenia) [IRP2] Assessing and improving first online adaptive proton therapy workflows of a clinic-industry consortium (OncoRay
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03.06.2021, Academic staff The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and privacy-preserved
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03.06.2021, Academic staff The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and privacy-preserved