11 materials-science-"University-of-Copenhagen--------" positions at Technical University of Denmark in Denmark
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Ander Gorm Pedersen (Department of Health Technology (DTU Health Tech), Section for Bioinfomatics, DTU), and Associate Professor Hannes Schroeder (Globe Institute, University of Copenhagen). You will also
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300 MDKK “Pioneer Center for Accelerating P2X Materials Discovery”, funded by the Danish Ministry of Higher Education and Science, the Danish National Research Foundation, the Carlsberg Foundation
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researchers across DTU, University of Copenhagen, and Lund University to apply the methods and tools developed by the QIM team. Contribute to strategic planning and decision-making related to software
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. CAPeX is a 13-year and 300 MDKK “Pioneer Center for Accelerating P2X Materials Discovery”, funded by Danish Ministry of Higher Education and Science, the Danish National Research Foundation, the Carlsberg
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with the University of Copenhagen. Disseminating your research findings in highly ranked peer-reviewed journals and international conference proceedings. Strengthening our international collaboration
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engineering with previous studies in material and computational design. One postdoc is employed at the Technical University with the candidate expected to have a background in computer science with previous
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services. Conduct system demonstrations in real-world neural network applications such as natural language processing tasks with our collaborators in the University of Copenhagen. Disseminating your research
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with SODAS at the University of Copenhagen. PhD scholarship in Linearized floating wind farm modelling - DTU Wind Denmark Posted on 04/29/2024 Are you a curious, self-driven individual with a strong
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, and on cognitive psychology. Center for Social Data Science (SODAS) at University of Copenhagen: New types of data, in particular digital data, is flooding the social sciences. The broad catchphrase
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psychology. Center for Social Data Science (SODAS) at University of Copenhagen: New types of data, in particular digital data, is flooding the social sciences. The broad catchphrase for the analysis