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how children (8-12), adolescents (12-18) and young adults (18-25) build critical literacy skills to evaluate news in the context of algorithmic personalization and GenAI. It brings together expertise
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multiscale analysis of the mass distribution, as well as that of the flow field structure, and of the force and tidal field that has been shaping the cosmic web. The basic detection algorithms to infer
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critical literacy skills to evaluate news in the context of algorithmic personalization and GenAI. It brings together expertise on media and journalism studies, digital literacy and inclusion, argumentation
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are you up for a challenge? Are you motivated to contribute to solving important societal questions by developing algorithms, adjusting existing statistical models and conducting simulation studies
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structure, and of the force and tidal field that has been shaping the cosmic web. The basic detection algorithms to infer the overall structure of the cosmic web are the various versions of the scale-space
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for these new solution methods will be derived. This position is part of a larger research project “Discrete Decision Making under Uncertainty”, in which researchers work on developing new theory, algorithms, and
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the context of algorithmic personalization and GenAI. It brings together expertise on media and journalism studies, digital literacy and inclusion, argumentation theory and AI, combining argumentation theory
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algorithms for construction-related planning problems. It is part of the project Easicon, a collaboration between the University of Groningen, VolkerWessels, Districon / Royal HaskoningDHV, and BuildingSMART
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Uncertainty”, in which researchers work on developing new theory, algorithms, and case studies for discrete decision-making problems under uncertainty. For example, the newly developed algorithms will be
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component on the path towards sustainability. This PhD position is aimed at developing algorithms for construction-related planning problems. It is part of the project Easicon, a collaboration between the