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users are expected to request assistance on measurements performed either in combination with another NFFA installation or outside the NFFA facility. In the latter case the computational project should
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. - Strong teamwork and leadership skills in an interdisciplinary environment. - Fluent in English (spoken and written). - Excellent problem-solving and analytical skills with attention to detail. - Ability
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Spectroscopy, XRD, and ARPES (with the assistance of the responsible Laboratory Engineers). · Device nanofabrication · Magneto transport characterization in a cryogenic environment. · Investigation of spin
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applications. The candidate will help on MSc and PhD students supervision and training. AVAILABLE INSTRUMENTS Thermo Fisher Spectra 300 (60-300 keV), double corrected and monochromated, Gatan Continuum EELS with
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advantages contracting some products (health insurance, childcare, training, among others.) Training activities: languages, mentoring programme, wellbeing programme. International environment Estimated
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advantages contracting some products (health insurance, childcare, training, among others.) Training activities: languages, mentoring programme, wellbeing programme. International environment Estimated
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, mentoring programme, wellbeing programme. International environment Estimated Incorporation date: March 2025 This contract has recieed funding from the European Union's Horizon Europe research and innovaation
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, graphene-based nanostructures, 2D materials, topological insulators...). This position is related to MOLESENSE (PID2022-140845OB-C63), a project within the program of the Spanish Research Agency PROYECTOS DE
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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 research will involve state-of-the-art nanomaterials for energy and environmental applications as well as nanomaterials for quantum applications. The candidate will help on MSc and PhD students supervision