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Large Language Models for Knowledge Harvesting, Sharing, and Management Knowledge is a vital asset for individuals, organizations, institutions, and society. Large Language Models (LLMs) have the
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Python or a similar language Knowledge of machine learning, natural language processing, and deep learning is a plus Experience with affective computing and human-computer interaction is a plus Excellent
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Investigating and exploiting the secret language of gestures and body movements in conversations. Enabling machines to interpret social behaviour in real life is a major frontier of Modern
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reports and papers (even unpublished). Some experience with coding in a modern programming language and an interest in using computers for scientific discovery. Having attended courses in numerical methods
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developers. An independent, proactive approach combined with pragmatic practical creativity. Nice-to-have: Knowledge of Large Language Models in Software Engineering or experience in their practical use
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to carry out minor teaching tasks (at most 15% of the contract time). Teaching in English will be possible. Communication will be in English. If desired, there is the opportunity to attend Dutch language
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. In case the transcripts are in other language than English please include a translation (notarized translation is not needed). PDF 3 must include: a (part of your) MSc thesis or a paper that you have
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decomposition, tracing intermediate outputs, problem solving and debugging. Recent advances in Large Language Models (LLMs) create opportunities for scaling the teaching assistance provided to novice programmers
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English; please see https://www.tudelft.nl/onderwijs/opleidingen/phd/admission for requirements . Proficiency in Dutch language would be helpful but is not required. Interested in participating in
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Developer-AI collaboration; How can we seamlessly integrate Large Language Models into the developer's toolbox? Context: An essential part of the success of Large Language Model (LLM)-based tools