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-based and index-based approaches, the sequent-peak algorithm, extreme value analysis, and multivariate copulas. Based on this, you will develop an improved method to map global energy drought risk and
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consumption, create energy labels for algorithm scalability, and guide implementers in choosing more efficient algorithms. Ready to make AI more sustainable? Apply now! The goal of your PhD project is to
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, Information Science, Data Science and Artificial Intelligence. We employ over 200 people in four divisions: Artificial Intelligence & Data Science, Algorithms, Interaction, and Software. The atmosphere is collegial and
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of the North Sea. Existing automated detection algorithms will be used to identify seals and porpoises. The results will be used to create seasonal acoustic presence maps, investigate differences in community
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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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with established causal models. Ultimately, you will design algorithms for causality-based analysis and counterfactual recovery of liveness violations. Information and application Are you interested in
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field; Affinity with formal methods, including an understanding of basic of automata theory, formal languages, algorithms, and computability --- i.e., foundational computer science theory. Candidates with
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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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activities. By mapping and analysing the spatial distribution of such initiatives, the project will reveal how urban demand for landscape services—food production, recreation, nature management—relates
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-breeding residency site. Job Description This project aims to investigate the spatial-temporal dynamics of Black-tailed Godwit distribution, habitat use, and foraging ecology in Senegal, focusing