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of new data-driven 3D X-ray inspection techniques for industrial quality control. The project is foundational in nature, while at the same time exploring applications in collaboration with industry
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services to the Faculty of Arts at Radboud University for a period of six months. As this position is embedded in the Centre for Language Studies, your thesis should be in accordance with one of the three
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participate in the Graduate School for the Humanities. As part of this position, you will write a PhD dissertationthesis and provide your services to the Faculty of Arts at Radboud University for a period of
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good command of spoken and written English. Experience with data analysis in astroparticle, particle or cosmic-ray physics is an advantage Familiarity with machine learning may be useful, but is not
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to work in a large international collaboration while advancing your own research; and a good command of spoken and written English. Experience with data analysis in astroparticle, particle or cosmic-ray
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Computational Fluid Dynamics (CFD) has become indispensable for aerospace design, many important problems—including high-fidelity flow simulations, uncertainty quantification, and multidisciplinary optimization
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fundamental insights into turbulent multi-phase flows. Accelerating the development of air-knife technology by providing fundamental insights into turbulent multi-phase flows: are you up for the challenge? As a
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du Sang and the University of Rennes Duration : 4 years (full-time) Project: ERC Consolidator Grant DONOR-PROTECT Current donor policies largely apply the same donation intervals and eligibility
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democratic control, social inclusion, and environmental responsibility in urban design and policy. This PhD project aims to shed light on current initiatives that similarly and concretely promote another
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outstanding properties depend on a carefully controlled microstructure. Understanding how impurity elements influence these steels is therefore critical for enabling a circular and resource-efficient steel