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, engineering or physics. Knowledge: Computational programming, machine learning, quantum transprot, device simulation. Professional Experience: use of device simulation codes applied to 2D materials. Personal
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ICN2 PhD Programme 2026 Programme description: The ICN2 offers a competitive PhD Programme to talented students who wish to develop a research career at one of the top European institutions in
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focus on the newly-discovered physical and chemical properties that arise from the behaviour of matter at the nanoscale. ICN2 has been awarded with the Severo Ochoa Center of Excellence distinction
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Physics, Materials Science or an equivalent field, with a background in condensed matter theory or computational nanoscience. Junior postdoctoral profile (R2). Knowledge: Spin-orbit torques and spintronics
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focus on the newly-discovered physical and chemical properties that arise from the behaviour of matter at the nanoscale. ICN2 has been awarded with the Severo Ochoa Center of Excellence distinction
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call ICN2-SO Technology Valorisation Programme, supported by the Severo Ochoa Grant CEX2021-001214-S/MICIU/AEI/10.13039/501100011033 The selected candidate will contribute to the technical execution
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international recognition from scientific societies or science academies. Cobine strong expertise in theoretical and/or computational methods with proven leadership and management skills. The ability to mentor
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focus on the newly-discovered physical and chemical properties that arise from the behaviour of matter at the nanoscale. ICN2 has been awarded with the Severo Ochoa Center of Excellence distinction
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: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science, Gaming Engineering or a related discipline. · Knowledge: Strong coding skills in Python and knowledge in materials
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Research Engineer - Tools developer for LSQUANT platform (Theoretical and Computational Nanoscience)
. Create tools to handle large files trnasfers in the backend. Requirements: Education: Bachelor in physics or electrical/ mechanical engineering Knowledge: General programming knowledge proefficiency in