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development and application of state-of-the-art computational methods alongside experimental validation. More about working at Lund University on lu.se. https://www.lunduniversity.lu.se/about
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Join us in developing next-generation, machine-learning accelerated computational models to understand and predict coupled ionic and electronic transport in organic materials for sustainable energy
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Computational Fluid Dynamics (CFD) and Artificial Intelligence (AI) for future flexible hydropower operation. Your work assignments As a PhD student, you will conduct research at the intersection of
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operating conditions, is difficult to access experimentally and lies beyond the reach of standard simulation methods. This PhD topic falls within the area of computational materials science and will
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about being a doctoral student at the University of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en/doctoral-studies Duties The PhD education in Medical
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-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp
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can be found on the university's doctoral student pages. https://medarbetarportalen.gu.se/doktorand/?languageId=100001&skipSSOCheck=true We offer The University of Gothenburg is a state authority
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science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
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environment. Please visit the lab’s website for more information: https://horvathlab.com . The Horváth Lab is part of the Wallenberg Centre for Molecular Medicine (WCMM) at Umeå University, a national
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our understanding of genome evolution and variation. The position is based in the Computational Genomics Research (CGR) Lab , within the Data Science and AI division, Gothenburg, Sweden. About us