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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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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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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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programme. Requirements: Education: PhD in chemistry, chemical engineering, materials science, biochemistry or equivalent. Knowledge: Extensive expert use of an array of physicochemical and materials
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· FEI F20 200 KeV STEM, EELS + EDX · Fully Automated FIB Helios 5UX · FEI SEM Quanta and SEM Magellan Requirements: Education: PhD in Physics, Materials Science, Nanoscience, Computer
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approaches, where data storage and processing occur simultaneously at the materials level, inspired by the operation of the brain. This includes research on unconventional computing paradigms, such as
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students and other researchers on in-situ (S)TEM. Requirements: · Education: PhD in Chemistry, Physics or Material Science, or closely related fields, with a strong focus on nanomaterials and advanced
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challenges and contribute to publications in high-impact scientific journals. Requirements: Education: PhD in Physics, Materials Science, Nanotechnology, Electrical Engineering, or a closely related field at