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maintenance test facility at SDU. This includes dynamical simulation of breeding blanket extraction with a robot, design and implementation of real-time control system, selection of sensors and actuators
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, or in information quality for decision-making. Are skilled in quantitative analytical methods, and ideally have some experience with simulation techniques. Research tasks Review and assess technologies
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-evolutionary simulation. The position is available from 1 March 2026 or as soon as possible thereafter and is for 2 years. Qualifications and competences Applicants must have a PhD degree or equivalent or have
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suite of thin-film deposition and processing setups heavily customized for exploratory materials research. This includes the “big three” techniques (sputtering, evaporation, and CVD) with access to 5
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create multi-fidelity predictive models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train
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: 1) Drones for Infrastructure Inspections and Interactions 2) Real-time processing, and 3) optimized power electronics. The section currently has 15 academics, including professors, PhD students, and
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the experiments. You will also have the opportunity to carry out your own simulations with our numerical model. Qualified applicants must have: A strong drive to move the frontiers of science. Ample experience with
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orthopaedic surgery. This role combines medical imaging (ultrasound and MRI), computer-assisted surgical technologies, and the study of how bones and joints move. The targeted starting date is March 1, 2026
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candidate will contribute to the SECUREAM research project, focusing on enhancing cyber resilience solutions for digital Additive Manufacturing (AM) processes and workflows in close collaboration with leading
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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research