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candidate will be joining the Quantum Information Theory group led by Prof. Dr. Antonio Acin and will be working on on the performance of quantum key distribution protocols over existing networks using
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. The successful candidate will be joining the Quantum Information Theory group led by Prof. Dr. Antonio Acin and will be working on on the performance of quantum key distribution protocols over existing networks
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17 Sep 2025 Job Information Organisation/Company Universitat de Barcelona Department Evolutionary Biology, Ecology and Environmental Sciences Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Spain Application Deadline 2 Oct 2025...
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. The successful candidate will be joining the Quantum Photonics group led by Prof. Hugues de Riedmatten. The group has experience in quantum technologies for quantum networks, including quantum memories, quantum
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. The successful candidate will be joining the Quantum Photonics with Solids and Atoms group led by Prof. Dr. Hugues de Riedmatten. The group has experience in quantum technologies for quantum networks, including
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GravNet and the Theoretical Physics Group This position will be funded by the ERC-2024-SyG GravNet 10116721 (GravNet: A Global Network for the Search for High Frequency Gravitational Waves). GravNet will be
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candidates will be embedded in a large network of international collaborations. The successful candidate will receive full support and help from the group leader in applying for independent funding if wished
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into the network led in 2017 to the detection of a neutron star binary merger that could be followed in electromagnetic signals, representing the beginning of multi-messenger astronomy. At the moment, LIGO and Virgo
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into the network led in 2017 to the detection of a neutron star binary merger that could be followed in electromagnetic signals, representing the beginning of multi-messenger astronomy. At the moment, LIGO and Virgo
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surrogates of electronic Hamiltonians. The postdoctoral researcher will develop graph neural networks based on the MACE architecture to predict Hamiltonian elements for 2D materials and van der Waals