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Future. Discover. Together. Excellent research and innovation are at the centre of the work of the HHI - Fraunhofer Institute for Telecommunications. We are a world leader inresearching mobile and
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into the following tasks: Contribute to the development and extension of the open-source market model PowerMarketSim, with a focus on integrating flexible asset representations Design and implement simulation
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Traditional CFD solvers are too slow for iterative design applications, requiring days to evaluate a single urban design variant. Fraunhofer IBP is pioneering the use of Deep Learning emulators
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. The aim is to connect current questions concerning the design and configuration of agrivoltaic systems and modules with fundamental principles of optics and physics, as well as findings from crop science
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3D integration and flexible electronics. These nano and microtechnologies form the foundation of our diverse fields of expertise, which include sensor technology, circuit design, system solutions with
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their temporal representation learning and downstream regression performance. The goal is to design more flexible temporal modeling strategies and improved pretraining approaches that enable GeoFMs to generalize
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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | about 1 month ago
and consultation for researchers on experimental design and data interpretation Close collaboration with the Applications Specialist and other core facility staff Requirements PhD degree in
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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 and
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scalable performance on current and future exascale computing platforms. The successful candidate will design and conduct experiments, integrate model developments using high- and low-resolution
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, since January 1, 2026, as part of the Excellence Strategy of the German Federal and State Governments, BioSysteM is administered by TUM. The aim of BioSysteM to learn how to design and control biological