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, information extraction, dialog tree generation and knowledge discovery using state-of-the-art NLP approaches. Experience with deep learning-based information retrieval, and/or deep generative natural
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develop a machine learning based monitoring system that leverages spoken language processing (SLP) and natural language processing (NLP) of speech recorded at home to calculate relapse risk. The developed
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Language Processing (NLP), Computer Vision (CV) and Machine Learning (ML) for the translation between spoken Language and Sign Languages. It will include the application of NMT techniques and Large Language Models
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project where an international interdisciplinary team will develop a machine learning based monitoring system that leverages spoken language processing (SLP) and natural language processing (NLP) of speech
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machine learning research, particularly in NLP and generative AI technologies at least at masters level. Experience in fine tuning and deploying LLMs is highly desirable. Strong programming skills in Python
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University of Texas, Health Science Center at Houston | Houston, Texas | United States | 3 months ago
roles in winning teams in national and international competitions, such as BioCreative and LitCoin NLP Challenge. Notable publications include works in JAMA (Zhu and Zheng, 320(11):1103-1104, 2018) and
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mathematical models for business optimisation problems. The project will utilize advances in multiple current AI technologies, in particular natural language processing (NLP) and novel ideas in combinatorial
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structural information to their properties, using advanced natural language processing (NLP) models (e.g., BERT, transformer, etc.) performing web scraping to generate additional data on the key protein
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Language Processing, Computational Linguistics, Computer Science with a specialization in NLP or ML, or equivalent (see University-specific requirements below) Foreign completed degree (M.Sc.-level) corresponding to a
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• Familiarity with NLP libraries such as NLTK, spaCy, or Gensim • Experience with text classification, sentiment analysis, and entity recognition • Experience with deep learning frameworks such as