16 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "St" "St" "St" "St" positions at European Magnetism Association EMA
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, yet capable of showing an anomalous Hall effect. Detailed information about the position and instructions for applying can be found at the following link: https://jobs.icn2.cat/job-openings/814
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of Physics, University of Oxford. The research will focus primarily on the development of 2D spin computing devices. All applications must be made through the central University of Oxford graduate admissions
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Presentation Scope All schools History News 2026 School Introduction Registration Program Recordings Questions Committees Sponsors Contacts Repository Lectures by topic Lectures by author Search lectures 2025
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high magnetic fields and low temperatures). More info at https://www.nanogune.eu/en/nanogune/join-us/open-position/504-pre-doctoral-researcher-non-linear-electronic-transport-2d-magnetic-materials-symbad
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magnets, unconventional magnetic systems, and topological materials. The candidate will develop and apply advanced computational techniques, including (TD)DFT and post-DFT analyses, alongside spin dynamics
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magnetometry, with the ultimate goal of enhancing coherence times and advancing the scalability of quantum computers. A goal of the project is to develop a mK-widefield quantum sensing tool in our Blufors
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computing as well as smart communication applications based on state-of-the-art magnetic tunnel junctions coupled into interacting networks. The ultimate goal will be to develop small scale demonstrators with
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Presentation Scope All schools History News 2026 School Introduction Registration Program Recordings Questions Committees Sponsors Contacts Repository Lectures by topic Lectures by author Search lectures 2025
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combined computational/experimental workflow for the AI-supported design of sustainable magnets free of rare earth elements. The activities focus on MnBi-based magnets with the goal to improve α-phase
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Job description - Developing device-to-architecture level models of emerging nanoscale devices (spintronic, resistive, or hybrid) for in-memory and neuromorphic computing. - Exploring hardware-level