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nanotechnology. The Catalan Institute of Nanoscience and Nanotechnology (ICN2) is seeking an experienced scientist and technical leader to establish and direct the new transversal Advanced Computing, Data Science
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of nanoscience and nanotechnology. Job Title: Jr. Materials Informatics Engineer Research area or group: Plataform AI@ICN2 Description of Plataform AI@ICN2/Project: AI@ICN2 is an institutional platform designed
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areas of nanoscience and nanotechnology. Job title: Senior Postdoctoral Researcher Research area or group: Nanomaterials for advanced memory and computing Description of Group/Project: The research
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areas of nanoscience and nanotechnology. Job title: PhD Student in Computational Materials Science Research area or group: Theory and Simulation Group Description of Group/Project: The Theory and
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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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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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of Group/Project: The Nanobioelectronics and Biosensors group at ICN2 is focused on the development of cutting-edge sensors for various point-of-need applications. The group of Prof. Arben Merkoçi
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Biosensors group at ICN2 is focused on the development of cutting-edge sensors for various point-of-need applications. The group of Prof. Arben Merkoçi are internationally recognised world leaders in
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Synchrotron developing correlative (S)TEM in-situ experiments on catalysts, from SACs to multiple types of nanostructures. This position is linked to the AMADE PID2023 project funded by AEI / MCIN, led by Prof
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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