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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
)”, IEEE Trans. on Commun., vol. 55, pp. 633- 643, April 2007 Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10409 Requirements Specific Requirements Candidate profile
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of this position is to assess the current capabilities of quantum computing for Numerical Weather Prediction (NWP), with a focus on developing hybrid quantum-classical or quantum-AI approaches. This includes
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15 Jul 2026 Job Information Organisation/Company University of Warsaw Department QLAB - Center for Hybrid Quantum-Classical Information Technologies Research Field Technology » Quantum technology
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The successful applicant will be expected to take a leading role in the core research activities of the Department of Theology (https://cas.au.dk/en/theology ) and the multi-disciplinary research activities
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routes entangled photons in the presence of classical telecom traffic in multi-node quantum networks. Information Efficient distribution and routing of entanglement are indispensable for quantum‑secure
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: the macroscopic world seems to follow instead the laws of classical physics. At an even deeper level, despite work of 100 years, physics has yet to find a clear way to integrate gravitational effects into quantum
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devices behave. In contrast, at the macroscopic scale, quantum effects are elusive: the macroscopic world seems to follow instead the laws of classical physics. At an even deeper level, despite work of 100
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interpreting results of diagnostic testing in classical bacteriology, mycology and parasitology in a veterinary or human diagnostic laboratory Experience working in a highly regulated diagnostic environment
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SOCIAL SCIENCES Zagreb, Ivana Lučića 3 ANNOUNCES VACANCY For the appointment to: The title and position of assistant professor in Humanities, field of Archaeology, at the Classical Archaeology Section
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twins, optimization, and control. In this PhD project, you will develop a new systems and control theory for learned operators, bridging modern scientific machine learning with classical control theory