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Max Planck Institute for Intelligent Systems, Stuttgart, Stuttgart | Stuttgart, Baden W rttemberg | Germany | about 1 month ago
tasks include: implementing computational mechanics algorithms in Python and C++, translating existing research codes and numerical methods into a modern collaborative software framework, developing
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. Your task in detail: Design a data pipeline to extract and preprocess activity-relevant features from monitored building power consumption data Develop a classification algorithm (e.g., based on Gaussian
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, or MATLAB) Interest in quantum computing, quantum algorithms, and hybrid quantum–classical computing. Previous experience is considered an advantage but is not required Knowledge of power systems
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involving Prof. Dr. Michael Bader (TUM CIT, Hardware-aware algorithms for HPC) , Prof. Dr. Felix Dietrich (TUM CIT, Physics-enhanced Machine Learning) , and Prof. Dr. Hartwig Anzt (TUM CIT, Computational
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Call for applications for the field of study, such as: Computer Science, Software Engineering, Mechanical Engineering, Mechatronics or similar. In the research group Navigation Mobile Robots, we
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reduced teaching responsibilities. We are a federal competence center for AI education and research. Our research pushes the boundaries in numerous aspects of intelligence, including algorithms and models
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experimental results What you contribute Enrollment in a full-time degree program at a German university, preferably in the fields of physics, engineering physics, optics, photonics, or quantum communication
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be
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EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites | Darmstadt, Hessen | Germany | 2 months ago
21 Jul 2026 Job Information Organisation/Company EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites Research Field Computer science Environmental science Physics
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fields such as computer vision and natural language processing, graph-structured data remain a rich frontier for methodological innovation, with many fundamental challenges and exciting opportunities ahead