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of battery and hydrogen storage during Dunkelflaute periods. The developed algorithm will be first test in the hardware-in-the-loop environment developed together with the other partners. After that, the same
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, validated through simulations and experimental testbeds. Become a part of our team and join us on our journey of research and innovation! Be part of change Development and evaluation of algorithms
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the necessary optics. Develop real-time MIMO DSP algorithms (implementable on FPGA) for crosstalk mitigation in the multicore fiber. What you contribute Outstanding scientific Master's degree in electrical
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and automata, and the interaction between formal methods and artificial intelligence. We welcome candidates interested in topics ranging from foundational theory to the development and evaluation
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and make energy use more efficient. We develop novel optimization methods, Machine Learning algorithms, and prototypical Energy Management systems (EMS) controlling complex energy systems like buildings
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
the information they contain. This project, part of the Helmholtz School for Marine Data Science (MarDATA), will develop new data science methods to improve the interpretation of biodiversity patterns from long
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Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example! Would you like to help drive the development of a new highly efficient AI hardware
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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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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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, reachability approaches or Bayesian filtering and develop a robust prediction algorithm. These dynamic predictions must then be integrated into a map representation to be included and used in the path planning