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of Information and Computing Sciences at Utrecht University. The Natural Language Processing group covers both symbolic and statistical approaches to NLP, with particular strengths in explainability, natural
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24 Jul 2026 Job Information Organisation/Company Utrecht University Research Field Computer science » Informatics Computer science » Programming Language sciences » Linguistics Researcher Profile Recognised Researcher (R2) Application Deadline 11 Sep 2026 - 21:59 (UTC) Country Netherlands Type...
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 7 hours ago
-editorial normalisation (PEN) of graphemic automatic text recognition (ATR) output as a dedicated NLP task. PEN is a traceable process in which every editorial inference (abbreviation expansion, post
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start date. Preferred Qualifications: Research experience in computer vision, NLP, geospatial data systems, or high-performance computing. Brief Description of Duties: The Postdoctoral Associate will
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discipline; or have significant experience in applying AI/ML to health data with a Master’s degree in the above areas if you do not have a PhD. You should bring experience in NLP or machine learning, strong
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expertise in large language models, foundation models, or modern AI systems and they will possess sufficient specialist knowledge of LLMs, foundation models, deep learning, NLP, mechanistic interpretability
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ecosystems. We seek an outstanding researcher who already has a demonstrated record of publishing rigorous work in leading AI, NLP, Web, computational-social-science, human-computer-interaction, or
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, collaborative research team. Preferred: · Experience with modern NLP and LLM techniques, including transformer models, prompting strategies, named entity recognition, relation extraction, or information
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(AI) and machine learning (ML) methodologies. The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing algorithms, and generating insights to improve patient care
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(AI) and machine learning (ML) methodologies. The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing algorithms, and generating insights to improve patient care