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conferences; Actively participating and contributing to the PhD community of Fertile Soils and the Landscape Architecture and Spatial Planning cluster. You will work here The research is embedded within
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Abilities: Bachelor's degree and 12+ years, or Master's and 9+ years, or PhD and 4+ years post-PhD. Expertise with foundation models, large vision-language models, or large-scale deep learning training
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, to mitigate user burden, monitoring should occur as minimally obtrusive and as engaging for a large audience as possible. Unobtrusive sensor technologies could complement self-reported data and may reduce the
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are predominately held in English. Full-time / part-time part-time (study alongside work) full-time Programme duration 8 semesters Beginning Only for doctoral programmes: any time Additional information on beginning
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the most important. Our focal subjects: sustainable aerospace, big data and artificial intelligence, bio-inspired engineering and smart instruments and systems. Working at the faculty means working together
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for a: PhD Candidate in Emotionally and Socially Aware Natural Language Processing (1.0fte) Project description Current Natural Language Processing (NLP) systems, and especially large language models
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. Our focal subjects: sustainable aerospace, big data and artificial intelligence, bio-inspired engineering and smart instruments and systems. Working at the faculty means working together. With partners
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escape. To monitor these mutations and to understand their impact, it is crucial to analyse genomic big data efficiently and accurately. Genomes are studied through genome sequencing, but
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the training of these systems, is treated mainly as data rather than as a social practice shaped by people, culture, and context. This PhD project investigates how to make NLP systems emotionally and socially
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because language, in the training of these systems, is treated mainly as data rather than as a social practice shaped by people, culture, and context. This PhD project investigates how to make NLP systems