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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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PostDoc - Advanced STEM imaging and spectroscopy in Nanoscience and Nanotechnology (RIANA Project)- ICN2 & ALBA Synchrotron Research area or group: Advanced Electron Nanoscopy Description of Group/Project
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ICN2 PhD Programme Programme description: The ICN2 offers a competitive PhD Programme to talented students who wish to develop a research career at one of the top European institutions in the field
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areas of nanoscience and nanotechnology. Job Title: Research Assistant on Surface Chemistry of Ferroelectrics Research area or group: Oxide Nanophysics Group Description of Group/Project: The present
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areas of nanoscience and nanotechnology. Job Title: Postdoctoral researcher Research area or group: Nanostructured Materials for Photovoltaic Energy Project title: Synthesis and Engineering of Pb-free
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internal reports and manuscripts. Requirements: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge of machine learning, including graph neural
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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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internal reports and manuscripts. Requirements: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge of machine learning, including graph neural
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fluid delivery and complete lab-on-a-chip integration for point-of-care devices. The application and technology transfer of the nanobiosensor devices for clinical diagnostics and environmental control is
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. Requirements: Minimum: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related field. Demonstrated experience implementing heuristic/metaheuristic optimisation (e.g