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Institute on the Old Road Campus. The post is for a fixed term (funded to 31 March 2025) and is full-time. You will design and implement neural network methods for natural language processing and text
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Institute on the Old Road Campus. The post is for a fixed term (funded to 31 March 2025) and is full-time. You will design and implement neural network methods for natural language processing and text mining
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the accessibility of free-text clinical reports for supplementary use. This project aims at implementing Natural Language Processing (NLP) techniques to free-text clinical records in Oral Medicine and Orthodontics
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. Degree in Computer Science and Engineering or related field. Expertise in Natural Language Processing, LLMs and conversational research. Demonstrated publication record in top-tier conferences such as ACL
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in computer science/engineering. Solid knowledge in Natural Language Processing, LLMs, or conversational AI. Proficient in programming languages and frameworks relevant to machine learning
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by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description • Develop techniques based on Large Language Models for the generation and analysis
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Leibniz Institute for Natural Product Research and Infection Biology | Jena, Th ringen | Germany | 2 days ago
Job Advertisement Leibniz-HKI-16/2024 The Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) investigates the pathobiology of human-pathogenic fungi and identifies
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A Corp Lab in NTU is looking for a Research Engineer I or II to conduct advanced research in Natural Language Processing (NLP) and Generative AI, with a focus on developing a comprehensive knowledge
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Description The person recruited will be responsible for the development of a computer system that combines deep learning, natural language processing, and psychology of language. - Develop, manage and
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Job title: Associate or Senior Editor (Structural biology, experimental and/or computational biophysics), Nature Communications Locations: London or New York - hybrid working model. Closing date