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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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: 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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technology transfer and R&D projects with private companies. The position is to work as scientific entrepreneur on the CAPTEN-2 project, which belongs to the call Producte (2024 PROD 00290) funded by
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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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others. The candidate will be working in a very multidisciplinary project that covers topics such as chemical synthesis and functionalization, materials science, characterization techniques and prototype
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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: Research Assistant on Surface Chemistry of Ferroelectrics Research area or group: Oxide Nanophysics Group Description of Group/Project: The present
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Reporting experimental data Requirements: Education: Bachelor's degree preferred Knowledge and Professional Experience: Technical background in (engineering, physics, chemistry...) Ebeam lithography
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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