136 data-"https:" "https:" "https:" "https:" "https:" Postdoctoral research jobs in Denmark
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further information are invited to contact Associate Professor Niculina Musat (niculina.musat@bio.au.dk). Who we are The successful candidate will be employed by the Department of Biology at Aarhus
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, creating CRISPR engineered cell lines, generating NGS data, including high-quality ChIP-seq data. The candidates with experience in both wet lab and bioinformatics will be able to do both (i.e. work in the
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further information are invited to contact Associate Professor Niculina Musat (niculina.musat@bio.au.dk). Who we are The successful candidate will be employed by the Department of Biology at Aarhus
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utilizes the world-class Danish registries as well as international data sources to assess pharmacological questions in large populations. The environmental medicine group studies the impact of early life
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optimizing color selection for attentional purposes. The successful candidate will be required to design, program and conduct EEG-experiments, analyze and interpret EEG and behavioral data and present results
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could be extended. Application deadline: 21 January 2026. For further information please contact Professor Poul Nielsen, Department of Physics, Chemistry and Pharmacy, University of Southern Denmark, e
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refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences
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of life and satisfaction of its residents. https://www.enjoynordjylland.com/ Your work tasks The position is offered in relation to the EU-funded research program "STRONG UR, Strategies for optimized
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., maternity/paternity leave), so we can subtract these periods from the span of their academic career when evaluating their productivity. For further information about the position, please contact
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date of 1 June 2026. They are well suited for early-career researchers interested in policing and politics, and who want hands-on experience working with large-scale quasi-experimental data. The project