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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also
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observational data on public service quality Integrate multiple data sources to create comprehensive datasets Conduct quantitative analyses using advanced statistical methods Collaboration and Dissemination: Work
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data science techniques to model and classify population health risk and disease dynamics at multiple spatial and temporal scales. The PDRA will lead the development of novel approaches for managing
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Are you interested in real-time distributed systems, IoT connectivity, and AI-driven automation? The Department of Electrical and Computer Engineering at Aarhus University invites applications for a
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across molecular biology, ecology, bioinformatics, and environmental science. The taxonomic scope is broad and inclusive: we aim to collect comprehensive data across multiple taxonomic groups to support a
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that addresses these issues. The center brings together experts on climate impact research and process-based modelling of biogeochemistry, agronomy, biology and geography from Aarhus University and University
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, our clinical partner at Aarhus University Hospital and Ana Namburete, an ultrasound image processing expert at the University of Oxford. The project will make use of the CFIN’s new 96-sensor QuSpin
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Applications must be received no later than 15 March 2026. Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee
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departments. Contact information For further information, please contact: Dr., Peter Zeller, peter.zeller@mbg.au.dk Deadline Applications must be received no later than 23 February 2026. Application procedure
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information about the application process, please contact HR support at iks-hr-sag@au.dk . The workplace will be at Institute for Culture and Society, Aarhus University, Jens Chr. Skous Vej 5, 8000 Aarhus C