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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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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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team working across electrolyzers, Power-to-X systems, power electronics, control, digital twins, and energy-system optimization, in close collaboration with the Technical University of Denmark (DTU
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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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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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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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-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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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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development and deployment via deep learning approaches (SE3D)” which is a collaboration between Head of Center and Professor Martin Bøgsted, Center for Clinical Data Science, Aalborg University, Professor
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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