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at the intersection of digital twins, multi-timescale system optimization, and integrated Power-to-X systems with special focus on the electrical engineering parts. This position offers a unique opportunity to drive
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Take the next step in your research career at the intersection of digital twins, multi-timescale system optimization, and integrated Power-to-X systems with special focus on the electrical
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postdoc, you will contribute to research and teaching within advanced modelling, optimization and design of composite and lightweight structures for applications such as wind turbine blades. Your work tasks
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be to develop and implement optimal control solutions for this process. You will contribute to the development of a mock-up dynamic model of the complete system, building on models developed by project
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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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, optimization, and improved decision-making in various industries like manufacturing, construction, and urban planning. Secure collaboration facilities in the DTaaS platform allows co-creation of products and
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commissioning commencing in 2027. The candidate will participate in the commissioning, testing, and optimization of the beamline. SINCRYS is built for SCXRD studies of small-unit-cell systems commonly encountered
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for fluid mechanics. The position is for three years, is based in Copenhagen, at AAU's waterfront campus in Sydhavn, and starts 1st of October or soon thereafter. In this position, you will take a leading
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FutureFoodS project SpeedyFermHub – which aims to support the development, optimization and scale-up of fermented plant-based food prototypes. Within the project, the Department of Management at Aarhus
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developing optimization-driven approaches to multimodal device tailoring. We are looking for someone with A PhD in Human-Computer Interaction or a closely related field Strong programming skills (e.g., Python