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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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novel energy harvesting devices for the development of self-driven neural interfaces. Requirements: PhD in Energy, Electrochemistry, Materials Science, Nanotechnology, or equivalent degrees. Knowledge and
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