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State University and work closely with I-CREWS researchers across the state. The position emphasizes developing, integrating, and applying modeling approaches-including machine learning (ML), hydrologic
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-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. • Apply and further develop machine-learning and statistical models (e.g. PCA, SAM
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Experience in machine-learning modeling for solid mechanics applications Experience in the development and coupling of numerical methods for solid mechanics modeling Experience in digital rock technology
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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
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plus. The ability to work in a fast-paced research environment, independently or in a team, meeting internal or external deadlines, and be self-motivated to learn new skills/tools is important for