7 machine-learning-"https:" "https:" "https:" "UCL" positions at European Magnetism Association EMA
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of reaching climate neutrality by 2050. By leveraging characterisation, multiscale modelling, machine learning, and numerical optimisation, the project seeks to craft a magnetic multiscale modelling suite
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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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portal. For more details, visit the MIND Group webpage: https://www.physics.ox.ac.uk/research/group/magnetism-intelligent-devices-mind/join-group For enquiries, contact: safeer.chenattukuzhiyil
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exotic magnetic and topological states in 2D van der Waals materials by applying and developing advanced computational and theoretical approaches. Source and mre information: https://www.spintalks.org/jobs
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dilution refrigerator in our newly built state-of-the art “Quantum Magnetometry” facility (https://qpl.eps.hw.ac.uk/?page_id=1823).This project is sponsored by industrial partner QZabre AG, an ETH Zurich
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of first-principles methods (strongly correlated systems), Monte Carlo, Landau-Lifshitz-Gilbert equation techniques, and data-driven approaches (database mining, machine learning). Access to computational