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in using natural language processing (NLP) methods on large-scale text data. Candidates with substantial experience in NLP and text-based analysis will be particularly well suited to the project
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: 25 months, part-time (50%) Location : Université de Caen Normandie, France Main host organisation : NIMH Unit, Inserm-EPHE- Université de Caen NormandieU1077 (https://nimh.unicaen.fr/fr/accueil
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to industry and developments with Deep Learning (DL), Computer Vision (CV), Transformers, Large Language Models (LLMs), Natural Language Processing (NLP). Mandatory requirements • Bachelor's degree
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candidate will have 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
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Keystone project on Addressing socio-technical limitations of Large Language Models (LLMs), particularly for medical and social computing https://adsolve.github.io/ ). The current role involves augmenting
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
for protein science, medical AI, efficient learning, and potential applications in Embodied AI. The postdoctoral researcher will support and mentor graduate students working on NLP and AI4Science projects
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, including prompting, fine-tuning, or evaluation Machine learning or NLP for classification, prediction, or multimodal data processing Experience with annotation tools, data pipelines, or AI-assisted labeling
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establishment in 2014, the CAMeL Lab has produced over 200 publications and 20 language resources and tools. The lab website is http://www.camel-lab.com/ . Google Scholar of the lab is at http://scholar.camel
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for a 3-year position from 1 September 2026 or as soon as possible hereafter, to join the DETECT project funded by Independent Research Fund Denmark, as well as the CoAStaL NLP research group. About the
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on healthcare data. - Experience in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) particularly in Natural Language Processing (NLP) and Computer Vision (CV) - strong record