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involve the integration of: Advanced motion planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models for physical behavior prediction and
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actively seek, select, and evaluate information to learn about the world. This is an open-topic position for doctoral or postdoctoral researchers who wish to pursue their own research ideas within the broad
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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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-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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methodological skills (ideally both quantitative and qualitative); have the ability to work independently and collaboratively in research teams; and have an excellent command of written and spoken English. The
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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(e.g. via machine learning) to qualitative analyses (e.g. via interviews) to support ambitious policies for climate and energy transitions. This position Green hydrogen is key to decarbonizing many hard
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19.07.2022, Academic staff The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on deep
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of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning