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position within a Research Infrastructure? No Offer Description The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: PhD Candidate in Explainable NLP
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multilingual NLP, AI ethics, or culturally inclusive AI safety is strongly encouraged. Candidates must meet minimum PhD entry requirements, including an Honours Bachelor's degree (4 years) with a Distinction (70
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. The system will leverage cutting-edge techniques in Natural Language Processing (NLP), Machine Learning (ML), and Multimodal Analysis to conduct adaptive interviews, assess candidate responses, and generate
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the academic year 2025/2026. The aim of this project is to perform research in natural language processing (NLP) towards identifying and exploring methods for the ethical development of NLP tools. Given
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freedom to establish a course of action together with their advisors. What is a given is the measurement-based approach and use of machine-learning (e.g., feature engineering, clustering, NLP, LLMs
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on natural language processing tasks (NLP), initially mostly on advanced information extraction, but recently also covering other topics, such as conversational agents. In this PhD you will focus on designing
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language processing (NLP), large language models (LLMs), machine learning (ML), and data visualization. The candidate will leverage their expertise in AI, statistics, and programming to design, develop, and evaluate
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Social and Everyday explainability; application of Machine Learning (such as Reinforcement Learning), Symbolic AI techniques (such as formal systems), or NLP techniques, in Human-AI collaboration; Human
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applications. Project description This PhD project focuses on advancing the field of multi-modal data analysis and generation, integrating computer vision, natural language processing (NLP), and machine learning
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) Experience in these areas is a plus: Knowledge graph construction from semi-structured data (tabular) data understanding Natural language processing (NLP) graphRAG Your tasks will include: research in