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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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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
The Department of Digital Design and Information Studies within the School of Communication and Culture at Aarhus University invites applications for a postdoctoral position “Human AI Collaboration
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material dynamics that shape embodied learning across four vocational programmes (to be selected in collaboration with the postdoctoral researcher). The project comprises three subprojects. The postdoctoral
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demonstrated ability to communicate scientific research results effectively. The ability to work independently as well as collaboratively in a research environment. For non-Scandinavian candidates, a commitment
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option to collaborate with Fabian Schneider and other researchers at the Center for Landscape Research in Sustainable Agricultural Futures (Land-CRAFT). Expected start date and duration of employment
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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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presenting scientific results and demonstrated ability to drive a research project is highly valued. Collaboration and/or management skills: Ability to work effectively in collaborative, interdisciplinary
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employment This is a fixed-term position from 1 December 2026, or as soon as possible thereafter, ending 31 March 2028. Job description Conduct independent and collaborative research into the molecular and
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spectrometry data, in collaboration with clinical microbiology at Aarhus University Hospital. Exploring novel MS data representations beyond binned spectra, such as audio spectrogram encodings or learned
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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