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January 2026 or as soon as possible thereafter. The position is a full-time position. You can read more about career paths at DTU here . Further information Further information may be obtained from Senior
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iNANO at Aarhus University is seeking a postdoctoral fellow for the Novo Nordisk Foundation CO2 R...
Academic Staff at Danish Universities . Salary depends on seniority as agreed between the Danish Ministry of Taxation and the Confederation of Professional Associations. Aarhus University’s ambition is to be
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Monitoring (LTVEM) in the hospital for management and diagnosis of epilepsy. The technology is built on brain computer interfaces equipped with a Spiking Neural Network (SNN) and aims at early detection
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information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities . Salary depends on seniority as agreed between the Danish
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researcher will have teaching responsibilities in the newly established BA program in psychology. Your qualifications A PhD in psychology or a related field. Knowledge of community psychological research with
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information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities . Salary depends on seniority as agreed between the Danish
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Academic Staff at Danish Universities . Salary depends on seniority as agreed between the Danish Ministry of Taxation and the Confederation of Professional Associations. Aarhus University’s ambition is to be
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if the candidate is expected to have a keen interest in digital history, other team members will do the advanced computational analyses in collaboration with the rest of the team’s domain experts
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, organizations, or surveys, will be supported to the best of the ability of senior researchers. The project should have a clear potential to generate research at the international level, produce publications in
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling