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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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Horizon Europe project OASIS at the intersection of NLP, AI, and environmental science. Work with 16 partners and 40 stakeholders to build AI-powered methods and interfaces to work with environmental and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Number: 313667 Vacancy ID: PDS004786 Position Summary/Description: Two postdoctoral researcher positions are available at UNC under Prof. Mohit Bansal in the UNC-NLP Lab. The focus of this NLP+ML postdoc
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and BDI Systems. He/she will work under the supervision of the center's executive president. Your main tasks: Design, develop and apply NLP algorithms in various projects. Contribute to the supervision
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Vector, Vue.js 3, Node.js, Python, and JSON; Natural Language Processing (NLP) applied to collections; implementation of data pipelines using AI models, embeddings (RAG), and OCR; demonstrated knowledge in
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
research task is to model semantic change and conceptual structure using Natural Language Processing. We will build customized NLP pipelines for premodern Greek and humanistic Latin, train and evaluate word
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documents involving both text and images for the FED-tWIN programme - Prf-2022-025 - ARKEY #AI #NLP #ComputerVision #HTR #MetadataExtraction #UX #InfoVis Context FED-tWIN is a research program of the Belgian
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scientists, and machine learning experts will be an essential and enriching component of the position. Strong candidates will have a background in machine learning and natural language processing (NLP), with a
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The Opportunity: Conduct research in Natural Language Processing (NLP), Computer Vision, and Artificial Intelligence (AI), with the goal of publishing in top-tier conferences such as CVPR, ICCV
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partners. The postdoctoral researcher will also contribute to teaching in areas such as Machine Learning, NLP, AI for Education, Explainable AI, and Python-based applied seminars, supporting course