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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in assessing carbon sequestration potential of wetlands as nature-based solutions under different
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be given to seamlessly integrating an ecosystem model (LandscapeDNDC) and a farm model (to be developed, based on components from the FarmAC and other relevant models from previous and ongoing
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respect and academic freedom tempered by responsibility. Salary and terms of employment The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations
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modelling. The position is available from 1 November 2025 or as soon as possible thereafter in the research section Ruminant Nutrition . Position: The Department of Animal and Veterinary Sciences seeks a
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receptors and HLA molecules, using lentiviral transduction. Help integrating engineered cells into sophisticated 3D skin-on-chip models. Coordinating MERFISH-based spatial transcriptomics experiments and
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project “ALPS - AI-based Learning for Physical Simulation”. Expected start date and duration of employment This is a 2–year position from 1 October 2025 or as soon possible. Job description You will be
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Two year postdoc position at Aarhus University for single molecule FRET based investigations of l...
in the target proteins. The postdoc will collect single molecule FRET data and by integration with existing atomic models establish trajectories for key conformational changes in the investigated
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Applications are invited for a 1-year post-doc position on modeling of two-phase flows for green hydrogen application at the Department of Mechanical and Production Engineering, Aarhus University
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materials, producing a comprehensive dataset of structures and their optical properties. This dataset will serve as input for AI-based design tools developed by collaborators within the project. Your main
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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