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well as regional efforts such as the Quantum Catalan Academy (https://cataloniaquantum.eu/ ) and the Master in Quantum Science and Technology (https://quantummasterbarcelona.eu/ ). These initiatives contribute to a
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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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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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. Engaging in regular group meetings, training activities, and interdisciplinary seminars at ICN2 as part of the PhD training programme. Requirements: Education: Master's degree in Materials Science, Chemistry
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others.) Training activities: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date: 01/06/2026 Este contrato es parte del/de la proyecto de I+D+i
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, among others.) Training activities: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date: as soon as possible How to apply: All applications must be
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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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. This contract has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101007417 - NEP. Equal opportunities: ICN2 is an equal opportunity employer
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Flexible compensation plan: tax advantages contracting some products (health insurance, childcare, training, among others.) Training activities: languages, mentoring programme, wellbeing programme
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: Education: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science. Knowledge: Deep expertise in electron microscopy, particularly STEM and FIB methods. Proven experience in