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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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areas of nanoscience and nanotechnology. Job Title: Postdoctoral Researcher (Computational Materials Science - AI for Catalysis) Research area or group: Theory and Simulation Group The Australia-Spain
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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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ICN2 PhD Programme Programme description: The ICN2 offers a competitive PhD Programme to talented students who wish to develop a research career at one of the top European institutions in the field
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: Design, implementation and testing of new methods and algorithms so that SIESTA can harness the compute power of the latest generation of (pre-)exascale architectures and tackle novel scientific challenges
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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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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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collaboration of 14 European research institutions and is funded (https://cordis.europa.eu/project/id/101136269) by the European High Performance Computing Joint Undertaking as part of the Horizon Europe program
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areas of nanoscience and nanotechnology. Job Title: Research Assistant in Active learning Research area or group: Theoretical and Computational Nanoscience Group Description of Group/Project: In
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: Design, implementation and testing of new methods and algorithms so that SIESTA can harness the compute power of the latest generation of (pre-)exascale architectures and tackle novel scientific challenges