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storage Innovation in the Machine Learning algorithms for EDA in terms of Computational Complexity, Performance Scores, etc. To learn more about our previous work, please check out our website
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Project Self Funded Prof Mohamed Pourkashanian, Prof W Nimmo, Prof Lin Ma Application Deadline: Applications accepted all year round Details In the urban environment at the household to institutional
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systems. Remuneration is 100% TVL E13 according to the German public sector rates A PhD Position is available at the Chair of Algorithms and Complexity. The PhD candidate is supervised by Prof. Harald Räcke
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MesaPD to solve complex multiphysics problems. The coupling is done across package boundaries. This also requires more sophisticated approaches in load-balancing. Finally, the newly developed algorithms
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efficient. We develop new optimization methods, machine learning algorithms, and prototypical systems controlling complex energy systems like electric grids and thermal systems for a sustainable future. These
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for various technologies and develop algorithms and software tools dedicated to accelerating research on multiple levels. We are working at the intersection of computer science, physics, and material science to
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extension to four years, will focus on leveraging the next generation of evolutionary algorithms to evolve efficient, robust, and interpretable predictors and data processing algorithms. A crucial aspect will
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24.06.2021, Wissenschaftliches Personal The Professorship of Data Science in Earth Observation (Prof. Xiaoxiang Zhu) is seeking a research associate in the market of AI for Earth observation in
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the Research Group “Stochastic Algorithms and Nonparametric Statistics” in the project „SFB/Transregio 388“ SFB/Transregio 388 investigates the interplay between rough analysis and stochastic dynamics. Central
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scientific work on design automation for quantum computers and develop methods and software tools dedicated to the design and realization of quantum algorithms/circuits. One of the main challenges in