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users' cognitive load and designs digital interventions that support cognitive autonomy, people's ability to think independently, in human-AI interaction. You will connect the project's technical work
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-AI Interaction’). Research objectives This project develops methods to detect changes in users' cognitive load and designs digital interventions that support cognitive autonomy, people's ability
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
) , Information Studies, Master's Degree Programme (2021) , Digital Design - IT, Aesthetics and Interaction, Bachelor's Degree Programme in (2024) and Digital Design, Master's Degree Programme in (2021) Given
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The Technical Faculty of IT and Design, Department of Computer Science, Section for Copenhagen, Natural Language Processing The Department of Computer Science at The Technical Faculty of IT and
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fracture processes at micro and meso scales influence the structural response at an engineering scale, and to use this insight to support the design of damage tolerant composite structures. You will be
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effects. This work provides fundamental insights into PQC and protein interaction networks and contributes to improved interpretation of human genetic variation in health and disease. Your job You will join
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biodiversity conservation worldwide. This project investigates how freshwater habitats influence pollinator microbiomes, physiology and ecological interactions. By combining environmental genomics, microbiome
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genetic basis of plant–microbe interactions, with a particular emphasis on data integration across plant species and data types (genomics, transcriptomics). Design, adapt and use deep learning methods
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differentiation. The position will focus on designing and executing experiments involving Cas9 based perturbation, single cell multi omics method development, and downstream verification in transgenic cell lines
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pressing scientific challenges of our time: understanding how biodiversity is changing in response to multiple, interacting global change drivers. The project will combine cutting-edge analyses of large