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of migrant communities in Belgium, focussing on mobility patterns (internal migration), family transitions and mortality using administrative datasets. The findings will be published in scientific journals and
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European MSCA Doctoral Network TRANSFORM - Urban Mobility Cultures in Transition: Socio-Spatial Implications of Transformative Practices (2025-2028). The TRANSFORM project will study from a holistic
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, for the preparation of a doctorate, contains: We invite you to apply for a PhD position supported by the Marie Skłodowska-Curie Doctoral Network HARNESS - Harnessing AI and Data-Intensive Technologies
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cutting-edge research infrastructure, close supervision by Prof. Spits and Prof. Olsen, plus access to a broad international network of collaborators, a dynamic, supportive, and family-friendly lab culture
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in AI: Generative Diffusion & 3D/4D Scene Synthesis: Re-design diffusion and NeRF-style models so multiple agents jointly reconstruct a scene. Semantic-Aware Compression & Network Information Theory
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operational employment. This doctoral research will thus leverage the power of graph neural networks – a novel ML architecture, capable of learning fundamental physical behaviour by modelling systems as graphs
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fields, a good word from our established national and international collaboration network of companies and research institutes, the content of the ever-growing number of projects we are involved with can
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, you will leverage the power of graph neural networks – a novel ML architecture, capable of learning fundamental physical behaviour by modeling systems as graphs and encoding nonlinearities in these. As
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interpret the ‘distended case study approach’ [1] as part of your PhD methodology, explaining how this could be used in relation to the DSNS-ACT Project, which aims to understand local and community-specific