35 science-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Aarhus University
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The Brummerstedt Iversen group at Department of Chemistry, Aarhus University is seeking candidates for two post-doctoral positions within the fields of ultrafast crystallography and single crystal
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society and to realising our vision of making the world a better place. The Lord Lab is based in the Centre for Gene Therapy and Regenerative Medicine (CGTRM) within the Faculty of Life Sciences & Medicine
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science, field ecology and biodiversity monitoring, the project aims to uncover novel links between aquatic and terrestrial ecosystems. The position is located in Risø and is available from 1 February 2027
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the Skrydstrup Group at the Department of Chemistry, Aarhus University invites you to apply for a 5-month Post Doctoral position (30 hours/week) starting from November 1st, 2026. Expected start date and
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perform phenotyping. In addition, you will utilize mass spectrometry (metabolomics, proteomics, chemical biology) to define metabolic targets. You will be the primary driver of the project, working
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largest health science research department in Denmark. Our clinical research covers all the medical specialities and takes place in close collaboration with the university hospital and the regional
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soon as possible thereafter. The position is a fixed-term full-time position for 3 years. Department of Clinical Medicine, Section for Bioinformatics and Computational Biology As a Postdoc at the
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is probably the largest health science research department in Denmark. Our clinical research covers all the medical specialities and takes place in close collaboration with the university hospital and
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possible thereafter. The position is a fixed-term full-time position for 3 years. As a postdoc at the Department of Clinical Medicine, you will be part of what is probably the largest health science research
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highly motivated candidate who has: A PhD in agronomy, engineering, biology, technical oriented sciences or similar. Research experience on process-based models (e.g. DayCent, DNDC, or similar) to simulate