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(or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs. The candidate will apply
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-doctoral fellow in Artificial Intelligence - Large Language Models and BDI Systems. He/she will work under the supervision of the center's executive president. Your main tasks: Design, develop and apply NLP
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team at the Laboratoire d'Informatique de Grenoble (LIG). GetAlp conducts research in NLP, machine learning, evaluation, and interpretability. The project will be supervised by Maxime Peyrard (CNRS
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well as familiarity with machine learning workflows, natural language processing (NLP), and text-as-data methods. We are especially interested in applicants who demonstrate a strong substantive interest in using
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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
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linguistic insights into computational models and help build open-source tools and resources that will support future research in historical semantics and NLP. You will be responsible to the Principal
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staff position within a Research Infrastructure? No Offer Description The work plan involves the use of natural language processing (NLP) to extract, from thousands of scientific articles, relevant
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The Tadeusz Manteuffel Institute History of the Polish Academy of Sciences | Poland | about 5 hours ago
methods with historical research, including the co-creation and interpretation of analyses based on natural language processing (NLP); actively participating in the work of the research team and
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information and reports; web-based and medical library-based search methods; and others, all to provide robust support for clinical decision-making. Education and Experience: - Strong publication record in NLP
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are comfortable working with Git and API tooling, such as Postman. You have experience in machine learning, NLP/LLMs, multimodal systems, computer vision, or scraping. Having experience in data science