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for new quantum computing algorithms. It will rely on statistical structure learning represented by knowledge graphs and efficient low-rank tensor compressions. We are looking for: A completed scientific
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and challenge of the cluster is its pronounced interdisciplinary nature, requiring not only the already comprehensive expertise of a single, well-defined field but also that of several cross-linked
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Max Planck Institute for the Structure and Dynamics of Matter • | Hamburg, Hamburg | Germany | 2 days ago
://www.mpsd.mpg.de/imprs-ufast/apply . These 21 interdisciplinary doctoral PhD projects in ultrafast science and quantum materials are on offer. Tuition fees per semester in EUR None Combined Master's degree / PhD
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Your Job: Topological quantum materials have attracted enormous attention since their discovery due to the observed anomalous transport properties originating from the non-zero Berry curvature. A
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programme involves three years of research-oriented thesis work, leading to a doctoral degree in the field of physics. Scientific interests are centred on activities in applied and quantum optics, nuclear
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Master's degree / PhD programme No Joint degree / double degree programme Yes Description/content The statistical physics of complex systems is a very broad field ranging from the study of quantum phenomena
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28 Feb 2025 Job Information Organisation/Company Forschungszentrum Jülich Research Field All Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline 19 Jan 2038 - 03:14
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strong fields, strong correlations, and quantum information technology. The Institute of Theoretical Physics is looking for a PhD Student (f/m/d) Non-equilibrium dynamics of condensed matter in the time
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19 Feb 2025 Job Information Organisation/Company Goethe-University, Frankfurt Department Institut für Kernphysik Research Field Physics » Quantum mechanics Researcher Profile First Stage Researcher
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and optimizing the execution User support in the field of large-scale AI Diving deep into technical aspects of efficiency, parallelization, and benchmarking Engaging in national and international ML/DL