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Description of the offer : PhD position in the Physics and Engineering of Nanodevices (PEN) Group at the Institut Català de Nanociència i Nanotecnologia (ICN2), Barclona, Spain. --Project Topic
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: See the attached PDF (See details). Please apply via this link: https://www.career.tu-darmstadt.de/tu-darmstadt/apply/53356
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will apply machine learning — in particular physics-constrained symbolic regression — to discover compact analytical spin-Hamiltonians and their parameter dependencies. These Hamiltonians will feed large
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. Currently available topics, application and more information: https://phdquantumgrenoble.univ-grenoble-alpes.fr/phd-application/available-phd-subjects PhD subjects (full list available via the attached link
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information theory will be considered an asset. Application Requirements: Interested candidates should apply on the dedicated CEA job website together with sending their application to cyrille.barreteau@cea.fr
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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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reliability. Magnetic non-destructive testing (mNDT) experiments involve measuring a material’s magnetic response to an applied field. In principle these experiments could offer a quick and efficient route