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, extract, and standardise functional information 2. Develop computational tools that integrate evolutionary and functional information using comparative genomics and deep learning approaches 3. Apply
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to learning Danish, including reading, writing, and speaking, is expected during the employment period. Contact Further information on the position may be obtained from Professor Margit Bak Jensen
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: Overcoming Inequity in Embodied Learning in Danish Vocational Education and Beyond, funded by Independent Research Fund Denmark. This is a full-time (37 hours per week), fixed-term (24 months) postdoctoral
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
software studies, and it analyses how GenAI is interfaced (SP1), how GenAI creates new relations to archives (SP2), experiments with prototyping alternative interfaces to GenAI (SP3), and utilise artistic
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research areas, including RNA Biology and Innovation. The position will be hosted in the Developmental Multi-Omics Lab (Peter Zeller). The lab combines single-cell multi-omics technology development with
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of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how
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statistics, AI and machine learning methods, including demonstrated experience in analysing multiple global change drivers, e.g. land use intensity, climate change, nitrogen deposition. Proven capability
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is a collaboration between the Department of Computer Science and the Centre for Science Studies at Aarhus University, Denmark. The position is available from 1 December 2026, or as soon as possible
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The research project Advancing Bildung in School: Science and Technology in SHAPE (ABIS) invites applications for a two-year postdoctoral position based in the Department of Philosophy and History
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-Chem • You will be contributing to the development of machine learning models used on data from Poleno Jupiters, applying Python and machine learning. • The position will focus on implementing