11 Computer Science "Data driven Materials Modeling" Postdoctoral research jobs at ICN2
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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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areas of nanoscience and nanotechnology. Job title: Senior Postdoctoral Researcher Research area or group: Nanomaterials for advanced memory and computing Description of Group/Project: The research
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areas of nanoscience and nanotechnology. Job title: Postdoctoral Researcher in Altermagnetic Spintronics Research area or group: Physics and Engineering of Nanodevices Description of Group/Project
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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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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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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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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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on the project, project management and other general academic group activities. Requirements: Education: PhD with a masters in Medicinal and Biological Chemistry preferred. Knowledge: Previous experience of having