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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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) Project description Current Natural Language Processing (NLP) systems, and especially large language models (LLMs), are interacting with human emotions more readily than earlier AI systems, but we still
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, or related field; Solid background in machine learning, deep learning and foundation models such as Large Language Models; Strong programming skills (Python/C++); Proven interest in generative models
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conduct empirical research on what successful organisations do differently on the organisational level. Is it the structure, power dynamics or perhaps the communication between departments that warrants
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dynamics or perhaps the communication between departments that warrants success? Or can other factors be found that explain what organisations could do differently to improve their cybersecurity? What you
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algebra systems; Excitement about working in a team with the other partners in the projects; Excellent communication and presentation skills; Creative thinking and high motivation; Excellent proficiency in
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internal and external events for the scientific community and stakeholders. Be an active member of the Cybersecurity Governance research group. Support teaching in our bachelor and/or master programmes Where
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; Excellent communication and presentation skills; Creative thinking and high motivation; Excellent proficiency in the English language. Research at our faculty The Faculty of Science is a world-class faculty
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peer-reviewed journals. Disseminate research findings at both internal and external events for the scientific community and stakeholders. Be an active member of the Cybersecurity Governance research
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degree in Computer Science, Artificial Intelligence, Data Science, or related field; Solid background in machine learning, deep learning and foundation models such as Large Language Models; Strong