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20 Apr 2026 Job Information Organisation/Company Jagiellonian University Department The Faculty of Physics, Astronomy and Applied Computer Science Research Field Physics » Other Researcher Profile
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow's technology in-house for a sustainable and secure society. When will
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Assistant Professor - Full-Time SCI-Computer Science - Pennsylvania-Pittsburgh - (25006623) Tenure-Stream Assistant Professor for Quantum Algorithms As the University of Pittsburgh’s newest school
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SD-25045 – PHD IN HONG-OU-MANDEL INTERFERENCE AND ENTANGLEMENT WITH COLOUR CENTRES IN SILICON CAR...
different cryostats. Is Your profile described below? Are you our future colleague? Apply now! Education · MSc degree in physics or quantum technology. Experience and skills · Excellent
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STFC - The Science and Technology Facilities Council; | Didcot, England | United Kingdom | 11 days ago
to accelerating the development and adoption of quantum computing. Headquartered at the Harwell Campus in Oxfordshire, the NQCC works across government, industry, and academia to address the engineering challenges
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quantum technologies are applying their discoveries in computing, communications, and sensing. CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science
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invites applicants for a PhD Fellowship in Quantum-Safe Blockchain Technologies at the Faculty of Science and Technology, Department of Electrical Engineering and Computer Science. The position is vacant
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Framework Programme? Horizon Europe – COFUND Is the Job related to staff position within a Research Infrastructure? No Offer Description Coupling quantum emitters to the optical modes of a photonic lattice
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, for example, information processing, communication systems or medical imaging. Internationally, quantum technology is divided into three pillars - quantum computation and simulations, quantum communication and
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on Intelligent Vehicles, vol. 1, no. 1, pp. 33–55, 2016. [2] M. Cerezo, G. Verdon, H.-Y. Huang, L. Cincio, and P. J. Coles, “Challenges and opportunities in quantum machine learning,” Nature Computational Science