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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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: 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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-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
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using the COM-B model and Behaviour Change Wheel across three phases – baseline measurement, pre/post pilot assessment, and longitudinal tracking. Collaborating with technical partners (e.g. on digital
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and work environment. An earmarked budget for postdoctoral training, travel, and conference participation. Membership in an established computational modelling team, including close collaboration with
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of Ideas at Aarhus University. ABIS is funded by the Novo Nordisk Foundation and is a collaboration between four partner institutions, with the University of Southern Denmark (SDU) serving as the lead