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Postdoc in pharmacoepidemiology: Long-term safety and benefits of ADHD medication in children and...
Sciences , University of Southern Denmark . The position is to be filled from June 1, 2026, or as soon as possible thereafter. Research tasks The postdoc will be embedded in a large Danish Norwegian research
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place of work is Department of Mathematics, Faculty of Natural Sciences, Ny Munkegade 118, 8000 Aarhus C. The complete job advertisement is available at: https://international.au.dk/about/profile/vacant
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the business community. For more information: https://bce.au.dk/en/research an exciting interdisciplinary and international environment at a university that consistently ranks among the world’s best universities
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in Denmark can be found on the University’s website. Contact Information For further information, please contact: Prof. Frank Kjeldsen Department of Biochemistry and Molecular Biology University
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. You can read more about the Department of Management at: http://mgmt.au.dk . Further information For further information about the position and the department, please contact the Director of the Center
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tools or functional genomic information or OMICS to improve genomic prediction models. The persons hired will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise
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about DTU Electro at www.electro.dtu.dk . For more specific information on the Quantum Light Sources group, see also https://electro.dtu.dk/research/research-areas/nanophotonics/quantum-light-sources
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@dtu.dk You can read more about DTU Space and the division of Astrophysics and Atmospheric Physics at https://www.space.dtu.dk/english/ If you are applying from abroad, you may find useful information
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26 Feb 2026 Job Information Organisation/Company Copenhagen Business School Department Department of Marketing Research Field Economics Researcher Profile Recognised Researcher (R2) Positions
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong