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particular Quantum Readout of PUFs, which enables remote authentication of physical credentials without the need to trust remote devices. https://arxiv.org/abs/1303.0142 https://export.arxiv.org/abs/1802.07573
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Quantum nanoelectronics investigates the behaviour
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Classification Title: Post-Doctoral Associate in Artificial Intelligence and Quantum Chemistry Classification Minimum Requirements: A Ph.D. in physical/theoretical chemistry or artificial
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Austrian Academy of Sciences, The Institute for Quantum Optics and Quantum Information Vienna IQOQIVIE | Austria | about 1 month ago
11 Aug 2026 Job Information Organisation/Company Austrian Academy of Sciences, The Institute for Quantum Optics and Quantum Information Vienna IQOQIVIE Research Field Physics Researcher Profile
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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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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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. The successful candidate will be joining Quantum Nano-Optoelectronics Group led by Prof. Frank Koppens. The postdoctoral researcher will investigate the optoelectronic properties of moiré quantum materials under
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Austrian Academy of Sciences, The Institute for Quantum Optics and Quantum Information Vienna (IQOQIVIE) | Austria | about 1 month ago
13 Aug 2026 Job Information Organisation/Company Austrian Academy of Sciences, The Institute for Quantum Optics and Quantum Information Vienna (IQOQIVIE) Research Field Physics Researcher Profile
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be based in the IST and will have opportunities to collaborate across Penn State, including with the Penn State Quantum Hub (https://quantum.psu.edu/ ), Institute for Computational and Data Sciences
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-classical approaches that combine advances in quantum computing and AI to accelerate scientific discovery and address complex challenges in areas such as materials science, chemistry, biology, healthcare, and