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Job Description If you are ready to launch your research career in advanced manufacturing and want to build cutting-edge skills in AI and real-time data-driven production, this PhD opportunity is
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in time-predictable computer architecture. Designing a network-on-chip for real-time automotive systems Verify the design with modern verification methods, such as function verification and formal
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to enhance imaging quality and speed Creating efficient data acquisition and processing workflows for large datasets of skin nanotexture images Optimizing hardware-software integration for robust performance
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process modelling, experimental data, model parameters and modelling approaches in order to optimize design, analysis and operation of complete capture processes. The goal of the project is to develop
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the hidden representations learned from data. The communication aspect of explainable AI has so far attracted less attention. Do you want to help us make learned representations more interactive? The Cognitive
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more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be obtained from Prof Xenofon Fafoutis and Prof
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. You can read more about our research on our homepage, see links below. The PhD position includes salary and travel grants covering the three years it takes to obtain a PhD degree at a Danish university
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synchrotron experiment to validate the Lab-3DµXRD results to link the printing parameters, the microstructural characteristics and the resulting corrosion properties, providing guidelines for designing defect
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system it is necessary to develop metamodels based on the high-fidelity data from CFD simulations, analytical modelling and semi-empirical correlations in an efficient ML framework. This project is a