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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 4 days ago
, Quantum Engineering or related field # Experience or a strong interest in one or more of the following areas is desirable: # Quantum optics and photonics # Semiconductor materials and device physics
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-career researchers to advance an independent research program, build a strong publication record, and contribute to cutting-edge developments in quantum science and technology within a highly
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mechanics, heterostructure band engineering and optoelectronic-device operation, with practical experience in multi-quantum-well structures, electro-absorption, QCSE, carrier transport or related III-V device
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of working About You Join an exciting ARC Discovery Project exploring a fundamental question at the frontier of quantum technology: “Can quantum computers solve sensing problems?” Working in collaboration with
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Sciences Location Bloomington Position Summary Position Overview The Postdoctoral Researcher will join an NSF-funded project developing and testing computational models of how decisions evolve over time. The
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2024 Falling Walls Winner in Physical Sciences for “Breaking the Wall of Quantum X-ray Tech” by the Falling Walls Foundation. [Group website: https://sites.google.com/view/ljwgroup ]. We leverage
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networks and quantum circuits using techniques from (formal) computer science. You will work closely with this growing team, where most members, including the first PhD candidates who joined in September
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Qualifications Education PhD in Physics, Physical Engineering, Computer Science, Mathematics, or other related field. Experience and Technical Skills Research experience in quantum information and computation
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-bandgap semiconductors and 2D materials, or establish activities on materials and processes beyond current activities, for development of solid-state quantum technology. Materials characterization
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, or computer science. Core competencies: solid background in quantum many-body physics strong programming skills (Python required, Rust a plus) experience with tensor networks, variational Monte-Carlo, machine learning