118 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:" positions at Technical University of Munich
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07.08.2025, Academic staff The Chair of Computational Mathematics at the Technical University of Munich (TUM) invites applications for one PhD position. The Chair of Computational Mathematics
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that seamlessly integrates visible-light and mid‑infrared microscopy with cutting-edge quantum techniques. This includes the full workflow from conceptual design and instrument development to performance
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that seamlessly integrates visible-light and mid‑infrared microscopy with cutting-edge quantum techniques. This includes the full workflow from conceptual design and instrument development to performance
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at the interface of quantum information, condensed matter and high-energy physics. A strong background and interest in one or more of the following topics is desirable: - Quantum computing with qudits, quantum error
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training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills and familiarity with machine learning
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part of an international team Desired Qualifications Familiarity with cloud computing platforms and large-scale data processing German language skills Publications in computer vision or machine learning
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, Python, or MATLAB. · have solid spoken and written English communication skills. Knowledge of German is not required. Prior knowledge of quantum physics is not required, but may be an advantage. Employment
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problems. Use the measurement / test data to identify the high-fidelity modelling parameters by solving the inverse problem. Validate the digital model against test scenarios. Perform what-if analyses
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knowledge of the German language besides English. If interested, please send your full application to the email adress provided below. At the Mechanics & High Performance Computing Group, there is an open
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morphology, and mechanical performance. This Ph.D. project focuses on the data-driven modeling and optimization of structural foams used in high-voltage battery systems for electric vehicles. As part of BMW’s