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PhD position funded by AEI agency (Spanish Government) TOPIC: Magneto-ionics for information technologies: secure and energy-efficient memories and advanced computing A PhD position is available
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- Knowledge of programming (Fortran, Python) - Previous experience with SIESTA will be a plus but it is not essential. - Previous experience with user-level High Performance Computing will be a plus but it is
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Research Engineer - Tools developer for LSQUANT platform (Theoretical and Computational Nanoscience)
different areas of nanoscience and nanotechnology. Job Title: Research Engineer - Tools developer for LSQUANT platform Research area or group: Theoretical and Computational Nanoscience Group Description
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, Computer Science, or related disciplines. Knowledge and Professional Experience: · Knowledge of programming languages used in data analysis (particularly python) is strongly recommended. · High Performance
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Offer: Cutting-Edge Research: Engage in high-impact experiments in altermagnetic spintronics. International Collaboration: Collaborate with leading European experimental and theoretical groups, including
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APPLICATION AREAS OF RESEARCH Health Energy Environment Information, communication and quantum technologies Candidates can review the research lines here: http://icn2.cat/en/research During the application
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the 'drug' or the 'transport system'. Such components include DNA, RNA, viruses, stem cells, radionuclides, liposomes, graphene, 2D-heterostructures, carbon nanotubes and other nanomaterials (quantum dots
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areas of nanoscience and nanotechnology. Job title: Postdoctoral Researcher - AI Development for Materials Design Research area or group: Theoretical and Computational Nanoscience Group Description
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of Group/Project: The AMS group focus on the atomic-scale engineering of the quantum properties of novel nanomaterials. Our aim is to understand and control quantum phenomena with atomic precision by
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of high-performance materials for green hydrogen production and energy storage. · Perform detailed STEM analyses on project-related materials provided by NEXPECH₂ partners, contributing directly to the