282 assistant-professor-computer-"https:" "https:" "https:" "https:" "University of St" "St" Postdoctoral research jobs in Denmark
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methods (e.g. workshops, digital sprints), and ethnographic fieldwork. You will be breaking new ground within STS and Valuation Studies in a larger research team led by Principal Investigator, Professor
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Faculty of Health and Medical Sciences University of Copenhagen We are looking for two highly motivated and dynamic computational postdocs to join the group of Prof. Ana Cvejic from the 1st of June
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) located on Aalborg University’s Copenhagen campus. TANTlab offers a vibrant international group of STS scholars working with fieldwork methods, design interventions, and digital/computational methods
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Foundation (DNRF) and is part of DNRF Chair Professor Niels Joachim Gormsen’s research program on the cost of capital. The Research The postdoc will work with Professor Gormsen (Copenhagen Business School) and
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/ Please find more information about research opportunities at Aarhus University here: http://international.au.dk/research/ Aarhus University also offers a Junior Researcher Development Programme targeted
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a master’s degree (if he/she applies for a position as research assistant) or a master’s and Ph.D. degree (if he/she applies for a position as a postdoc) in Bioinformatics, Computational Biology, or
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information Further information may be obtained from Professor Tomislav Dragicevic (tomdr@dtu.dk ). You can read more about DTU Wind and Energy Systems at https://wind.dtu.dk/ If you are applying from abroad
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analyses. The platform will be established during 2026, and the postdoc will have the opportunity to help shape its application to complex microbial systems. Required research experience We seek candidates
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analyses. The platform will be established during 2026, and the postdoc will have the opportunity to help shape its application to complex microbial systems. Required research experience We seek candidates
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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