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Field
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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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importance, model selection, trait prediction, and uncertainty quantification. Substantial professional development opportunities are available, including travel and speaking opportunities at international
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Source and conduct new experiments at these facilities. Collaborate with AI/ML researchers to incorporate forward models into inverse modeling, uncertainty quantification, autonomous analysis, and
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, including uncertainty quantification, probabilistic modeling, and learning from noisy or incomplete data is a plus Practical experience with High Performance Computing (HPC) systems is an advantage Your
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Job Purpose To make a leading contribution to a project on parameter inference, emulation and uncertainty quantification in fluid-structure interactions and growth & remodelling, as part of an EPSRC
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petrophysical datasets. Experience with uncertainty quantification and probabilistic approaches in reservoir modelling. Familiarity with geothermal resource assessment methodologies (volumetric, simulation-based
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methods & uncertainty quantification LLMs & multi-modal models Graph neural networks (GNNs) Reinforcement learning Edge AI & model optimisation Trustworthy AI (explainability, auditability, privacy
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
, how it can be extracted, and how confidently conclusions can be drawn. Develop and apply approaches for uncertainty quantification, robust inference, and validation of biomedical imaging results. Work
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graph construction and mining, CDE development for data harmonization. Regulatory science and explainable AI, verification, validation, uncertainty quantification, and AI evaluation framework High
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, synthetic data or data-driven decision support uncertainty quantification, robustness, variation simulation or tolerancing CAD/CAE integration, geometry assurance or quality data automation, control, 5G/6G