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methane-mitigating potential; however, its use has also raised animal welfare concerns. Consequently, there is a need to evaluate the animal welfare effects of seaweed-based feed additives. Research tasks
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writing drafts for publications. The candidate must have experience with international collaborations. The candidate must be able to work both independently but also serve as an excellent team player. Who
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Immunology as per 1 December 2026 or as soon as possible thereafter. The position is a fixed-term full-time position for 3 years. As a postdoc at the Department of Clinical Medicine, you will be part of what
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
research to explore how AI affects contemporary imaginaries (SP4). How can we use artistic and design-based approaches to address and potentially mitigate problematic aspects of GenAI’s usage in cultural
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engagement to accelerate the sector's transition to circularity. Aarhus University is lead beneficiary for two work packages dedicated to consumer engagement and behavioural activation. Together, these work
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grass pollen (both generic grasses and specific grass species) and selected fungal spores such as Alternaria alternata and Phytophtora infestans • You will work with data obtained with Poleno Jupiter
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research team. You will play a central role in advancing our understanding of the molecular dialogue between plants and their associated microorganisms, with the long-term goal of contributing to more
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.” The appointment begins on January 1, 2027 or as soon as possible thereafter. The place of work is Aarhus University, Moesgaard Allé 20, 8270 Højbjerg. The university is keen for its staff to reflect the diversity
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designed to also support a range of advanced crystallographic experiments. As a result, planning, preparing, conducting, and supporting user experiments will be an integral part of the position. SINCRYS will
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models. However, rigorous methods for evaluating XAI algorithms are currently lacking. This is in large part due to a gap between how explainability is evaluated within computer science and philosophy. In