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III - Doctorate degree Preference will be given to candidates with experience in Natural Language Processing (NLP) and Large Language Models, with a focus on transfer learning and low-resource languages
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, medical text, audio recordings, claims data, or location data. Proficiency in supervised/unsupervised learning, neural networks, NLP, and LLMs for clinical use cases. Experience with AI frameworks, cloud
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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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in top-tier journals and conferences. Work closely with ChordIA's musicologists, harmonic analysts, and the NLP/AI team at UNED. Work with diverse musical formats (MusicXML, MuseScore, MIDI) from
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operationalization. The AIOS group encompasses expertise in AI, data science, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and
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operationalization. The AIOS group encompasses expertise in AI, data science, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and
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group encompasses expertise in AI, data science, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling
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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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project focuses on building a database and on combining advanced ML and NLP approaches to accelerate discovery in Molecular Solid Solutions (MoSS). Data will be gather collectively during the course of the
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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