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to) SIESTA (www.siesta-project.org) and its TranSIESTA functionality. SIESTA is a multi-purpose first-principles method and program, based on Density Functional Theory, which can be used to describe the atomic
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. The successful candidate will be joining the Organic Nanostructured Photovoltaics group led by Prof. Dr. Jordi Martorell to undertake research in the characterization of thin film solar cells based on organic
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. The successful candidates will be joining the Photon Harvesting in Plants and Biomolecules group led by Prof. Dr. Nicoletta Liguori. Our group combines state-of-the-art methods in experimental ultrafast
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. The successful candidate will be joining the Ultracold Quantum Gases group led by Prof. Dr.Leticia Tarruell . The Fermi-Hubbard model is a cornerstone model of condensed matter physics. It describes the physics
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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 Atomic Quantum Optics group led by Prof. Dr. Morgan Mitchell. The group has several active research topics focused on hot-vapor quantum sensors, including
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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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. The successful candidate will be joining the international QTWIST program that includes Prof. Jarillo-Herrero (MIT) and Amir Yacoby (Harvard) as well as research groups of Prof. Adrian Bachtold, Prof. Carmen Rubio
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. The successful candidate will be joining the international QTWIST program that includes new joint laboratories of Prof. Jarillo-Herrero (MIT) and research groups of Prof. Adrian Bachtold, Prof. Carmen Rubio Verdú
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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