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permanent magnet. You will use our state-of-the-art open source micromagnetic model MagTense to perform this modeling work. You will research determining the ideal microstructure, for example grain size
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engineering parts. This position offers a unique opportunity to drive the development of system-level digital-twin and optimization methodologies—integrating electrolyzer models with renewable generation, power
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moulding, and you will test specific mechanical and physical properties in order to generate high-quality data for training and validating Machine Learning models. You will use these models to analyse how
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storage, thermal management, and innovative operation and control strategies. We seek candidates with a strong background in the field of applied thermodynamics (fluids, components, process scales) aided by
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At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipends in Unsupervised Learning for Medical Image Analysis are available for appointment from November 1
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students working on related topics. Your profile Successful candidates must hold a PhD degree in Mechanical Engineering, Chemical Engineering, Energy Engineering, Applied Physics, or a related discipline
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of mechanical structures. The position combines independent research responsibilities with active participation in teaching and supervision at relevant engineering programmes. Your primary research work will
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. One position will be affiliated with the research group Data Engineering, Science, and Systems in the Copenhagen section. About the CPH Section The CPH Section is organised around the Software
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The Department of Electrical and Computer Engineering (ECE) at Aarhus University (AU) invites applications for a tenure-track position as Assistant Professor in Electronics. We seek a talented and
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At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipends in Human-Machine Interaction are available for appointment from October 1, 2026, or as soon as