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one or more of the following areas: Large Language Models, Generative Models (AIGC), Natural Language Processing, Computer Vision, or High-Performance Computing. Solid programming skills in Python and
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. Uncertainty Quantification and Calibration: A reliable system knows what it doesn't know. We are developing rigorous methods for models to estimate the uncertainty in their predictions and decisions, a critical
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properties using advanced techniques such as UV-Vis, XRD, XPS, and electron microscopy, with support from specialized core facilities. Correlating synthesis parameters with functional properties (e.g., redox
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of transferred layers will be characterized by Raman. In a second step, the candidate will participate in the optimization of the device parameters (electrode material, geometry, dielectric...) Requirements: PhD