36 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" positions at University of Copenhagen
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on an overall assessment. Further information on the recruitment process at University of Copenhagen can be found here: https://employment.ku.dk/faculty/recruitment-process/ An Equal Opportunity Workplace
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your relocation and career counselling to expat partners. Please find more information about these services as well as information on entering and working in Denmark here: https://ism.ku.dk/ Contact
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Department of Public Health Faculty of Health and Medical Sciences University of Copenhagen Are you skilled in data management and data governance? Do you have a passion for building, managing, and
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multi-layered nationwide social and health data combined with an interdisciplinary fusion of methods spanning data science, epidemiology, ethnography, econometrics, and systems science. Our research
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systems. Further information on the Department is linked at https://www.science.ku.dk/english/about-the-faculty/organisation/ . Inquiries about the position can be made to Assoc. Prof. Leonardo Midolo
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for the production of Physical Unclonable Functions. The post may also include performance of other duties. Further information on the Department is linked at www.chem.ku.dk. Inquiries about the position can be made
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accepting the job offer - for more information follow this link. Documented research experience in companion animal infection immunology, health and welfare, disease prevention and/or antimicrobial
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, including a short cover letter, with information about your education, experience and other skills relevant for the position Certificate of education Deadline for applications: 5 February 2026 23:59 CET
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external events Research at MOBILE is primarily interdisciplinary. Therefore, familiarity with or interest in law, political science, sociology, data science, or related fields is an advantage. Work
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development section, specifically: Develop and maintain custom Python graphical user interfaces that enhance the usability of the group’s research tools. Optimize data workflows through efficient data