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education programme at AAU’s Copenhagen campus and spans a broad range of computer science research. The two positions in this call will strengthen the section’s profiles in Probabilistic and Symbolic AI
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seeking a student for a Teaching Student Assistant position starting 1 September 2026. One position is available as a Teaching Student Assistant in the course Qualitative Research Methods (jointly taught in
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) with a planned start date of December 1, 2026, or soon thereafter. The position offers an excellent opportunity to develop a strong academic profile within a dynamic and internationally oriented research
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postdoc, you will contribute to research and teaching within advanced modelling, optimization and design of composite and lightweight structures for applications such as wind turbine blades. Your work tasks
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responsibility of the position will be to lead and develop a research group in clinical AI with special focus on leveraging multimodal clinical data for clinical decision support. You will work in close
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University and the Central Denmark Region. The University Clinic further strengthens the close integration of research, clinical practice and education within R&D. R&D’s Research Strategy 2026–2030 has
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biochemical engineering. Develop new approaches for the discovery, design, and engineering of enzymes, metabolic pathways, proteins, and biological systems. Integrate computational methods, including artificial
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? Digital platforms do not convey the tactile, spatial and multisensory qualities that are integral to shared manipulation of tools, prototypes and materials. In the MIRA project, we will develop prototypes
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students and Postdocs in data analysis and interpretation Help with bioinformatics Participate in teaching of relevant laboratory courses in food chemistry Deliver on various duties related to the Department
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: https://novonordiskfonden.dk/en/news/climate-resilient-crops-novo-nordisk-foundation-and-the-wellcome-trust-award-a-grant-of-up-to-dkk-585-million-to-the-ancient-environmental-genomics-initiative