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areas of nanoscience and nanotechnology. Job Title: Research Assistant - AI Optimisation for Materials Design Research area or group: Theoretical and Computational Nanoscience Group Description of Group
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characterization techniques. · Knowledge: Deep expertise in electron microscopy, particularly STEM and FIB methods. Proven experience in designing and conducting in-situ TEM experiments. Familiarity with energy
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of energy production in windows prototypes. - Participation to entrepreneurship program. The hired person will be mainly focused on: - lab work to develop the technical part of the project, - Entrepreneurship
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and 2D materials, and oxides. Fabrication of functionalized Pb-free MHPs by solution processing methods. Fabrication of complete Pb-free MHPs solar cells and memristors (TFTs). Stability analysis
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defect engineering in cerium oxide nanoparticles to optimize their redox activity and catalytic properties. This involves aqueous, room-temperature synthesis methods, advanced spectroscopic
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products (health insurance, childcare, training, among others.) Training activities: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date: January 2026
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advantages contracting some products (health insurance, childcare, training, among others.) Training activities: languages, mentoring programme, wellbeing programme. International environment Estimated
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products (health insurance, childcare, training, among others.) Training activities: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date: as soon as
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activities: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date: June-July 2025 How to apply: All applications must be made via the ICN2 website and
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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