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that may empower consumers to resist persuasion and reduce harmful consequences? Are you passionate about advertising, algorithms and social media? Then apply for this PhD project focused on demystifying
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advance scholarship on who is most often exposed to algorithmic persuasion, how different types of people cope and are affected, and how we can develop remedies to reduce negative consequences. By doing so
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to make viable trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with
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trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with these challenges. By
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you eager to make AI more sustainable? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase
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they capture not only the quantity of recycling, but also the quality and sustainability of circular strategies. The candidate will develop an integrated framework to assess both circularity and sustainability
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Apply and develop advanced multimodal data tools and knowledge
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Apply and develop advanced multimodal data tools and knowledge graphs for heterogeneous pavement engineering knowledge aiming to speed up the learning cycle and support innovation and asset
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fundamental research on the evolution of massive binary stars, with a special focus on the systems that give rise to gravitational-wave sources. This theoretical project will be at the intersection of stellar
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they end their lives as black holes or neutron stars. This will be the topic of this PhD thesis. As a PhD candidate, you will conduct fundamental research on the evolution of massive binary stars, with a