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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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. Requirements: Minimum: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related field. Demonstrated experience implementing heuristic/metaheuristic optimisation (e.g
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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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Electronic Materials and Devices (AEMD) group focuses on the material sciences and technology aspects of novel electronic materials, with a strong emphasis on graphene and other 2D materials such as MoS2
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partners) to share the latest results. Requirements: · Education: Degree in Chemistry, nanoscience and nanotechnology, Materials Science, and similar. · Knowledge and Professional
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: · Education: Master in Chemistry, nanoscience and nanotechnology, Materials Science, and similar. · Knowledge and Professional Experience: At least 2 years of experience in lab work and research
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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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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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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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Reporting experimental data Requirements: Education: Bachelor's degree preferred Knowledge and Professional Experience: Technical background in (engineering, physics, chemistry...) Ebeam lithography