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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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: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science, Gaming Engineering or a related discipline. · Knowledge: Strong coding skills in Python and knowledge in materials
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areas of nanoscience and nanotechnology. Job Title: PhD Position in Experimental Two-Dimensional Spintronics Research area or group: Physics and Engineering of Nanodevices Group Description of Group
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and devices. Funded by a "Generación de Conocimiento National Project, AEI", the group is seeking a candidate to be employed as a PhD student for the Clip-off Chemistry in Organic Synthesis: a new
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areas of nanoscience and nanotechnology. Job Title: PhD student - Inorganic Nanoparticles Group Research area or group: Inorganic Nanoparticles Group Description of Group/Project: The Inorganic
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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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students and other researchers on in-situ (S)TEM. Requirements: · Education: PhD in Chemistry, Physics or Material Science, or closely related fields, with a strong focus on nanomaterials and advanced
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). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different areas of nanoscience and nanotechnology. Job Title: PhD on in
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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