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to perform theoretical physics research 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
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Methodological competence: Strong programming skills, ideally including experience in deep learning and/or high-performance computing Passion for method development Very good English communication skills – both
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Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML training on the High Performance Computers Engage in
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knowledge of computer and system architecture, as well as performance engineering. • Pleasure in taking responsibility, independent and structured way of working, high commitment, communi-cation and team
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communication theory, as well as in quantum coding theory ▪ Interest in theoretical work with high practical relevance ▪ Interest in demonstrating research results on a hardware platform ▪ Software: Experience
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., for quantum computing, microfluidics, or conventional circuits and systems. Our focus on interdisciplinary partnerships and networks will enable you to meet many interesting people (at places all over the world
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-quantum cryptography and coded computing (1 postdoc, 1 PhD, Antonia Wachter-Zeh, antonia.wachter-zeh@tum.de) • Theory for communication systems beyond Shannon's approach (1 postdoc, 1 PhD, Christian Deppe