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devices, combining ferroelectricity and spintronics, with strong potential for disruptive logic-in-memory computing architectures. The candidate will carry out experimental work covering the full device
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. The work will be primarily computational, focusing on the development of deep neural network model architectures and their training. It will involve extending the preliminary results we have already obtained
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30 Jan 2026 Job Information Organisation/Company CNRS Department Centre de recherche sur l'hétéroepitaxie et ses applications Research Field Engineering Physics Technology Researcher Profile First
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23 Jan 2026 Job Information Organisation/Company CNRS Department Centre de recherche sur l'hétéroepitaxie et ses applications Research Field Engineering Physics Technology Researcher Profile First
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21 Feb 2026 Job Information Organisation/Company CNRS Department Institut de Chimie et Procédés pour l'Energie, l'Environnement et la Santé Research Field Chemistry Physics Technology Researcher
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systems. NumPEx aims to support the Computational Scientific and Engineering (CSE) community in leveraging the capabilities and potential of these new architectures through expanded and reusable exascale