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computational methods to investigate quantum, optical, thermal and spin-dependent transport in complex materials. A central expertise of the group is the LSQUANT methodology, a suite of linear-scaling, real-space
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experimental and industrial partners. The position is funded by AI4SPIN (ERC Starting Grant, Grant Agreement 101078370, 04/2023 - 03/2028, PI Dr. Jose H. Garcia). AI4SPIN combines quantum transport simulations
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; energy-efficient information technologies; surface functionalization and characterization (XPS) High level of English Ability to lead specific research lines, supervise students (including PhD students
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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new