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Field
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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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-learning energy trading algorithms that are able to cope with these challenges. By leveraging real-time data, developed algorithms continuously adapt to market dynamics and respond to changing market signals
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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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focus will be on developing compact, efficient, and real-time LLM algorithms/hardware on the edge and developing demos for specific applications such as speech disorder therapy. Your responsibilities will
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focuses on how Dutch and English academic literacy develop within Dutch and English tracks, and how curriculum characteristics may be conducive to this. This involves the analysis of a large sample of
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higher education. Your specific subproject focuses on how Dutch and English academic literacy develop within Dutch and English tracks, and how curriculum characteristics may be conducive
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is to increase donor organ utilization through merging cell therapy techniques with state-of-the-art organ perfusion strategies. PhD project The aim of the PhD project is to develop and implement a
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Applications are invited for a fully-funded four-year PhD position that will explore how rural youth (ages 18–30) use both online and offline methods to make sense of sustainable development and the