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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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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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within battery state estimation, with a particular focus on emerging sodium-ion battery technology. You will be involved in both independent and collaborative research activities in close interaction with
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within CFD modelling, with a particular focus on the projects MetNH3Energy and ACE Water. You will be involved in both independent and collaborative research activities in Europe in close interaction with
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: Conceptualisation and synthesis of data integration and visualisation workflows. Data management and the development of knowledge graphs Development and application of AI and machine learning methods and pipelines
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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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purification. The work will be in particular focused on the projects CYCLOPEM and You will be involved in both independent and collaborative research activities in close interaction with colleagues in the group
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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
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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