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, data science using EHRs, machine learning, data mining, and natural language processing are preferred. Job Description: Develop large language models and other methods and tools to effectively use
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, data science using EHRs, machine learning, data mining, and natural language processing are preferred. Job Description: Develop large language models and other methods and tools to effectively use
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scholarship. Skills in graph databases (Neo4J), machine learning and <b>natural</b> <b>language</b> <b>processing</b> are desirable. Project funding Project based scholarship Funding reference <b>https</b>://www.monash.edu/it/nextgen/ai-in-mental-health Learn more about minimum entry...
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scholarship. Skills in graph databases (Neo4J), machine learning and <b>natural</b> <b>language</b> <b>processing</b> are desirable. Project funding Project based scholarship Funding reference <b>https</b>://www.monash.edu/it/nextgen/ai-in-mental-health Learn more about minimum entry...
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Postdoc in Causal Inference and Natural Language Processing Norrkoping Reference number IEI-2026-00561 We have the power of over 50,000 students and co-workers. Students who provide hope for the
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, natural language processing, and data harmonization, with applications in biomedicine and related domains. The Postdoctoral Research Associate will collaborate closely with graduate and
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University of Amsterdam (UvA) | Amsterdam, Provincie Noord-Holland | Netherlands | about 1 month ago
, Language and Computation (ILLC) of the University of Amsterdam is looking for a new Assistant Professor in Natural Language Processing, to complement its existing expertise. The ILLC does world
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application deadline is Monday, November 9, 2026. Interviews are tentatively planned for December 10, 2026. The positions are hosted within the Natural Language Processing (NLP) research group https
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multilingual studies, and philosophy. For more details, please visit https://www.ntu.edu.sg/soh. We are looking for a full-time Research Assistant with a background in Natural Language Processing (NLP
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grounded interpretation. Working closely with researchers in natural language processing and literary studies, the candidate is expected to: construct datasets and benchmarks linking literary passages