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Field
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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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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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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
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experience in programming (e.g. Python, C, Julia). The ability to run large-scale simulations on an HPC cluster is a plus. Additional Information Benefits We will give you a temporary employment contract (1.0
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partners (schools, public and private sectors) and engage with the analysis of the collected data. This main goal of this particular PhD fellowship is to explore how humans interact with the automatically
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, such as virulence, drug response and vaccine escape. To monitor these mutations and to understand their impact, it is crucial to analyse genomic big data efficiently and accurately. Genomes are studied
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leading interdisciplinary hub that advances foundational research, responsible innovation, robust governance and broad capacity building. This PhD fellowship is associated with the second cluster
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models. by combining cutting-edge data science with advanced clinical expertise and imaging technologies. Your colleagues: A dynamic, interdisciplinary team of intensivists, clinical technologists, PhD