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not to include a photo or unnecessary personal information in their application. Details about Copenhagen Business School and the department are available at www.cbs.dk . Where to apply Website https
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We are seeking to recruit a 2-year postdoctoral researcher within Human-Computer Interaction to work on the interdisciplinary project DARES: Data Quality for Responsible AI in Energy Systems funded
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personal information in their application. Details about Copenhagen Business School and the department are available at www.cbs.dk. Application due 5/11/2026 Where to apply Website https://candidate.hr
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for international researchers and accompanying families, including relocation service and career counselling to expat partners. Please find more information here: https://internationalstaff.au.dk/relocationservice
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and will involve computational and organic chemistry, biophysics and structural biology. The project will be in collaboration with the Gehringer lab, University of Tübingen. Information
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feel crowded. It is a safe and welcoming environment for children - a great place for the whole family. For further details on the city and the university please follow this link: https
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feel crowded. It is a safe and welcoming environment for children - a great place for the whole family. For further details on the city and the university please follow this link: https
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Further information may be obtained from Carlos Acevedo-Rocha: cargac@ dtu.dk . Google Scholar profile . More information about BRIGHT: https://bright.dtu.dk , CPE group . If you are applying from abroad
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
visualization. The postdoctoral researcher will be hired either at the Department of Culture and Language (https://www.sdu.dk/en/om-sdu/institutter-centre/iks ) or at the Department of Mathematics and Data
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: http://ecos.au.dk/en/. What we offer Excellent research infrastructure with access to state-of-the-art facilities, shared technical equipment, and strong technical support for fieldwork and data