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power grids. In this role, you will combine theory and experimentation to address one of the most critical challenges in modern energy systems, maintaining stability in an increasingly converter-dominated
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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
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We are looking for a postdoctoral researcher who wants to contribute to the development of next-generation frameworks for resilient power grids. In this role, you will combine theory and
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and men. Project overview The project concerns applying supervisory control theory to security in a broad sense, both as off-line and on-line approaches. The work is collaborative in nature, bridging
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(RTP) by metal-free compounds and double thermally activated delayed fluorescence (TADF) from single molecules. Work assignments The proposed postdoc project among others will include computational
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to contribute your own research ideas and take part in supervising PhD students. About the research project The position, starting in the first half of 2026, will be based in the theory division of the Department
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information and communication theory, machine learning, and signal processing. We offer a dynamic, supportive, and international research environment with around 150 employees from more than 20 countries. Our
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-14180 Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a postdoctoral researcher to become part of our team at the Division of Subatomic, High
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delayed fluorescence (TADF) from single molecules. Work assignments The proposed postdoc project among others will include computational design and photophysical studies of the novel luminescent radicals
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We are looking for a Postdoc to become part of our team at the Division of Subatomic, High-Energy and Plasma Physics at the Department of Physics. Join our innovative team and contribute to exciting