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field above the helideck and around ships. These wind fields are simulated on model scale as standard. For helicopters, the real limits are then determined by a test flight by an experienced test pilot
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implementation of a scalable Digital Twin architecture, data acquisition from industrial sensors, development of predictive models, and validation through simulation and experimental case studies. The proposed
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. Set up a quantitative, experimentally validated model of the ultrasonic flow sensors Design an experimental sensing platform required for this project. Characterize ultrasound propagation loss, quality
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of multipoint in situ measurements and numerical simulations performed with the ion-kinetic Vlasiator code to quantify how interplanetary shocks modify solar wind current sheets across a range of
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. The topic of the doctoral research will on development of efficient and scalable search engines. This entails design of new retrieval models, efficient query processing, and use of modern hardware
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. The model microorganism Geobacter sulfurreducens is one of the most efficient producers of bioelectricity, and the current production has been linked a single extABCD gene cluster. Our preliminary
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science, computational neuroscience and causal AI. You will collaborate with internationally recognized researchers and contribute to developing novel methods for understanding brain dynamics. The current
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by M. Raoux and currently includes 2 Professors, 2 Associate Professors, 2 permanent research engineers, 1 fixed-term research engineer, 1 postdoctoral researcher, and 3 PhD students. Supervision
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modern control design methods Experience with modelling and simulation of dynamic systems Programming proficiency sufficient for implementing and testing control algorithms Experience with nuclear reactor
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative methodologies, such as simulation, analytical modelling, and AI‑driven techniques, to develop decision support for efficient