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light sources, quantum frequency conversion and quantum processing nodes. The current position will be within a project aiming at developing quantum network nodes with laser cooled atoms, including highly
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. The successful candidate will be joining the Optoelectronics group led by Prof. Dr. Valerio Pruneri. The successful candidate will be responsible for various tasks related to the simulation, planning, development
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to develop novel strategies that contribute overcoming critical resource bottlenecks in energy devices. The successful candidate will be joining the CO2 Mitigation Accelerated by Photons group led by Prof. Dr
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. The successful candidate will be joining the Super-resolution Light Microscopy & Nanoscopy (SLN) Research Facility at ICFO led by Dr. Pablo Loza-Alvarez, which is equipped with front-end microscopy techniques
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. The successful candidate will be joining the Super-resolution Light Microscopy & Nanoscopy (SLN) Research Facility at ICFO led by Dr. Pablo Loza-Alvarez which is equipped with front-end microscopy techniques
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environment. The Functional Optoelectronic NanoMaterials group at ICFO, led by ICREA Prof. Gerasimos Konstantatos, is looking for outstanding, creative and highly motivated researchers to develop highly
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magnetometers. We work with a variety of international partners, including industrial leaders in biomagnetic instrumentation, in vapor cell miniaturization, and in laser development for atomic sensors. We also
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quantum memories, quantum light sources, quantum frequency conversion and quantum processing nodes. The current positions will be within a project aiming at developing quantum repeaters using solid-state
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liquid phases have been predicted. It can be realized using atoms with two valence electrons, such as ytterbium or strontium. To investigate such SU(N) physics, our group has developed a quantum-gas
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quantum memories, quantum light sources, quantum frequency conversion and quantum processing nodes. The current positions will be within a project aiming at developing quantum repeaters using solid-state