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Analysis and Synthesis https://www.cs.aau.dk/research/research-groups/quantum-systems-analysis-and-synthesis-qsas The Department of Computer Science features a broad range of synergistic activities within
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Systems Analysis and Synthesis https://www.cs.aau.dk/research/research-groups/quantum-systems-analysis-and-synthesis-qsas The Department of Computer Science features a broad range of synergistic activities
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closely with signal processing pipelines built on real measurement data — including baseband I/Q signals — and contribute to both algorithm development and experimental validation. The role involves close
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algorithms into efficient edge inference systems, and validate end-to-end performance under real-world deployment conditions. Throughout, you will work with live measurement data spanning the full arc from
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, from the quantum processor to the quantum-classical interface and all the way quantum algorithms and applications. Further information on the Department is linked at https://www.science.ku.dk/english
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working with large collaborative code projects Proficiency in applying AI-driven algorithms (e.g., neural networks, reinforcement learning) for the creation of surrogate models and the autonomous
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particular interest in the interaction and interdependencies of business and society. More information about MSC’s research focus can be found here https://www.cbs.dk/en/research/departments-and-centres
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Control of Buildings (https://annex96.iea-ebc.org ). Responsibilities and qualifications The primary objective is to advance scalable modeling methodologies for building energy systems by combining physical
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candidate will develop and test novel user interfaces that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning algorithms. This work will be evaluated through
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interface and all the way quantum algorithms and applications. Further information on the Department is linked at http://www.science.ku.dk/english/about-the-faculty/organisation/ . For further information