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. To analyze and control thermoacoustic instabilities, we combine fluid mechanics, acoustics, and combustion with methods from control engineering, nonlinear dynamics, and data-driven modeling (machine learning
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sensor technology, analytics, medical technology and quantum cryptography. Become a part of our team and join us on our journey of research and innovation! Be part of change Collaboration on the design of
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to acquire new knowledge You bring scientific curiosity and a desire for academic discussion and exchange Good German and English skills What we offer Central location: Just a few minutes' walk from the KIT
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Directions AI for Scientific Computing Neural Operators and Learning-Based Surrogates LLMs and Scientific Agents Agentic AI for Engineering Design Multimodal Scientific AI Alignment and Verification
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platform as a doctoral student? At Fraunhofer IPMS , in collaboration with renowned German and European partners from science and industry, we are developing analog accelerators using novel non-volatile
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international research network in which scientists from both Munich universities, the Helmholtz Zentrum München, and the Max Planck Institute of Biochemistry collaborate across disciplines. Funded by the DFG
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elements. By integrating machine learning, structural optimisation, and automated code-compliance verification, the platform will enable designers to create structural designs based on available reclaimed
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at the Professorship of Energy Management Technologies are focusing on the design and evaluation of innovative data-driven and Machine Learning-based systems to integrate more renewable energy into our energy systems
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
. Experience in machine learning and computer vision frameworks, such as pytorch, opencv, or scikit-learn. Experience in computational psychology or interdisciplinary collaboration. Basic knowledge of cameras
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environment. Particularly advantageous Strong knowledge of statistics, statistical learning, or probabilistic modeling. Experience collaborating with experimental scientists, biologists, or clinicians. Interest