68 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" uni jobs in Germany
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of reaching climate neutrality by 2050. By leveraging characterisation, multiscale modelling, machine learning, and numerical optimisation, the project seeks to craft a magnetic multiscale modelling suite
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areas best match your interests. You would like to learn more about our institute? Get to know the Fraunhofer ITWM and gain insights into our Institute. (youtube.com) What you will do At our institute
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robotic system design, humanoid robot development, manipulation and bimanual manipulation, control, or machine learning for robotics. Excellent project management skills to meet and achieve the expected
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vision models Experience with event-based cameras, neuromorphic vision concepts, spiking neural networks, and/or neuromorphic computing is a plus Experience with, or willingness to learn, ROS 2 for robotic
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control, and process optimization. You will work on the development of deterministic population balance models, conduct single-crystal and batch crystallization experiments, and apply modern machine
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machine learning (data-driven modeling, machine-learned force fields (MLFF), structure-property relationships) for the evaluation of large data sets and to generate new research approaches. In teaching, the
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robust, user-friendly frameworks for multimodal elastography and enabling deployment on portable devices (e.g., smartphones) for real-time diagnostics. The research combines continuum mechanics, machine
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robust, user-friendly frameworks for multimodal elastography and enabling deployment on portable devices (e.g., smartphones) for real-time diagnostics. The research combines continuum mechanics, machine
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W3 or W2 with tenure track to W3 professorship in General Geophysics / W2 professorship in Geographi
measurement methods, experimental and numerical simulations, and machine learning/big data. Our future colleague is expected to significantly contribute to establishing the new interdisciplinary focus on Earth
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location Cottbus-Senftenberg and increase its visibility. Through innovative research and new teaching and learning formats, the BTU is shaping the future: with scientific findings and practice-relevant