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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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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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language (cQASM) and accompanying tools which lie at the heart of our full-stack quantum computer - Quantum Inspire. These tools encompass a parser, compiler and simulator to be used in the next generation
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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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environments, with programming (e.g. Python): You have excellent language skills, both written and verbal and you enjoy to work in a team, take initiative, and to be results-oriented: You are available
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collaborate with experts from other disciplines, such as psychology and computational linguistics. You use your communication skills to inspire and convince partners of your research proposals, and to
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and organizational skills. Strong interest in Diversity, Equity and Inclusion. Good command of verbal and written English. Dutch language is an asset (not compulsory) . Salary and benefits are in
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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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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