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performance with classical methods. Qualifications PhD in Physics, Computer Science, Applied Mathematics, or related fields. Strong background in at least one of the following: machine learning, quantum
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, Physics , quant-ph , Quantum Science + Quantum Information Science + Quantum Optics + Theoretical Physics , Quantum Sensors , Theoretical Particle Physics , Theoretical Physics, HEP-Phenomenology (hep-ph
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carried out at ISOM-UPM, but in close collaboration with the project partners that will provide state of the art transmission electron microscopy (IMEYMAT-UCA) and quantum nano-optics simulation and
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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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scientists by offering high-quality educational programs to master, PhD students and postdoctoral researchers (full details in https://iciq.org/careers/ ). Short Project description: This project aims