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understanding, capabilities and innovation, while inspiring and providing broad training to the next generations of researchers. Our research lines focus on the newly-discovered physical and chemical properties
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of the training process of machine learning algorithms for power system applications 2) Enhance the performance and scalability of a peer-to-peer trading optimization algorithm using quantum computing (QC). Develop
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. Vacation: 22 working days per year. December 24 and 31 are non-business days. Eligibility criteria The selection process will consist of two phases and the following scale will be applied, out of a maximum
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they fulfill the eligibility criteria, which can be found here . LanguagesENGLISHLevelExcellent LanguagesSPANISHLevelBasic Additional Information Selection process The candidate should apply for the fellowship
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off, Compressed Summer schedule from 15/06 to 15/09, Conciliation schedule. Selection process Selection Committee: . Interview with preselected candidates. . To send an e-mail for those who have not