47 machine-learning-"https:" "https:" "https:" "https:" "https:" research jobs in Germany
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- Technical University of Munich
- University of Greifswald
- Forschungszentrum Jülich
- Leibniz
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Constructor University Bremen gGmbH
- DAAD
- Heidelberg University
- Humboldt-Universität zu Berlin
- University of Tübingen
- Academic Europe
- Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Hereon
- Max Planck Institute for the Physics of Complex Systems
- Nature Careers
- Technische Universität Berlin
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analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
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for safety-critical bilateral teleoperation. The research will leverage a combination of passivity-based control methods and machine learning techniques to enable reliable and robust teleoperation in uncertain
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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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. The positions focus on applied machine learning methods for real-world systems. Possible research directions include: Transfer learning and domain adaptation across heterogeneous production environments (e.g
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subjects, high interdisciplinary desire to learn, and willingness to cooperate, openness for internationalization and diversity, very good verbal and written English communication skills (good command
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project, we are looking for a strong candidate to contribute to the development of quantum algorithms and applications, focusing on quantum walks and quantum machine learning on graph structures. Your
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, organization, compression, analysis, and visualization of georeferenced or geometric data in large scales. We put emphasis on methods of distributed computing, machine learning, image and text analysis