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fair energy supply system based on renewable energies. We contribute to this with our research priorities of energy supply, energy distribution, energy storage and energy use. Through outstanding
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, this master’s thesis aims to develop a methodology for deriving representative distribution grid models (“typical grids”) for Germany based on publicly available data from medium- and low-voltage power networks
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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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spin-offs. For this purpose, our approximately 1,300 employees conduct research in four focus areas: energy provision, energy distribution, energy storage, and energy use. The state-of-the-art R&D
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startup spin-offs. To this end, we conduct research with our around 1,300 employees in the four focus areas: energy generation, energy distribution, energy storage, and energy use. The Fraunhofer ISE's
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collaborations, and spin-offs. To this end, our ~1,300 employees conduct research in four key areas: energy supply, energy distribution, energy storage, and energy utilization. Fraunhofer ISE's state-of-the-art R
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, and spin-offs. To this end, our approximately 1,300 employees conduct research in four key areas: energy supply, energy distribution, energy storage, and energy use. Fraunhofer ISE's state-of-the-art R
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The Fraunhofer Institute for Digital Medicine MEVIS is a world-leading and internationally connected research center for computer assistance in medicine. With about 140 employees, our mission is to
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, or similar domains) is a plus Solid understanding of cloud architectures and ML-Ops (AWS, Azure, or GCP) Familiarity with privacy-preserving or distributed learning approaches (e.g. Federated Learning) Comfort
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collaborations and spin-offs. With around 1,300 employees, we conduct research in four main areas: energy supply, energy distribution, energy storage and energy use. The state-of-the-art R&D infrastructure