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for robust, fast, and energy-efficient operation in spintronics, quantum sensing, and neuromorphic computing applications. This PhD project will focus on thin-film antiferromagnet materials based computational
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to cutting-edge and unique supercomputing systems including Quantum Computers and JUPITER, the upcoming first Exascale computer in Europe Comprehensive training courses and individual opportunities
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to perform an experimental PhD in Physics in the area of Quantum optoelectronics and 2D materials. The position is available from 1 October 2025 or as soon as possible thereafter. The successful candidate will
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postgraduate education in areas such as Information Processing Technologies, including Quantum Information and Computation, Optoeletronics, Physical Layer Security and Information Theory, Cybersecurity and
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of Quantum Materials (IMPRS-CPQM) is a joint PhD programme between the Max Planck Institute for Chemical Physics of Solids (MPI CPfS) in Dresden, Germany, the Technische Universität Dresden (TU Dresden), and
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for data analysis both locally and as part of the CMS computing Grid. The position offers exciting possibilities in the analysis of the new 13.6 TeV collision data towards quantum tomography of top quarks
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analysis both locally and as part of the CMS computing Grid. The position offers exciting possibilities in the analysis of the new 13.6 TeV collision data towards quantum tomography of top quarks
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to enhance efficiency, power density, and performance in applications such as high-performance computing (HPC) systems and artificial intelligence (AI) accelerators. Responsibilities and qualifications As a
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potential. Our research focuses on Materials physics; Quantum technology; Soft & living matter; and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate
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crystallinity. Therefor prior knowledge of state-of-the-art modelling software and molecular dynamics simulations and quantum mechanical calculations to elucidate the reaction mechanism, together with AI based