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and interest in one of the following fields: • Solid state quantum information science. • Quantum optical properties solid-state systems (e.g. semiconductor quantum dots, colour centers in wice gap
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concepts and compositions for high-performance electrolytes for emergent electrochemical device technologies such as redox flow batteries. Next generation energy storage and chemical transformation devices
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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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molecular/condensed matter physics) and the developments on new tools in perturbation theory and in computational methods (gradient flow), including quantum computing. We look for ambitious candidates with a
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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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of Computation, Information and Technology (CIT), located on the Garching Campus, starting October 01, 2025 or later. The group is seeking a highly qualified candidate for a postdoctoral position who possesses
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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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. Detection and imaging of electrical signals in neurons, the cells performing computation in our brain. You will work towards this goal by one of two complementary approaches: testing new quantum materials