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(NLP) and information retrieval (IR) that focuses on identifying, retrieving, and generating arguments (and counter-arguments) present in texts and dialogues, as well as classifying relations between
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subject area, such as an MSc in Data Science, Health Data Analytics, Health Informatics or Computational Social Science. Experience with Natural Language Processing (NLP) or text mining, particularly
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Institute of Advanced Studies of the University of São Paulo (IEA-USP) | Brazil | about 2 months ago
of graphs and summaries of descriptive statistics in spreadsheets and other similar software;Desirable proficiency and experience in programming crawlers for jurisprudential data mining (text mining);Ability
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language processing (NLP) to analyse historical texts, literature, and cultural data. Experience with AI tools such as machine learning for sentiment analysis, data mining for social trends, or computational
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Department SDSMT-Civil & Environmental Engineering Physical Location of Position (City) Rapid City Posting Text The Civil and Environmental Engineering (CEE) department at the South Dakota School of Mines
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Mineral and Energy Economy Research Institute of the Polish Academy of Sciences | Poland | 3 months ago
Technology » Mining Environmental science » Natural resources management Researcher Profile Established Researcher (R3) Positions PhD Positions Country Poland Application Deadline 30 Oct 2025 - 23:59 (Europe
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are a plus has a strong profile in text and data-mining and has a notion of omics data integration is willing to work in a highly multi-disciplinary environment had academic good performances
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Reference Number 101178498 Is the Job related to staff position within a Research Infrastructure? No Offer Description Campus Iberus (https://www.campusiberus.es/?lang=en ) is currently offering PhD contracts
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expertise in language technologies. The LTI is dedicated to the study of human language and related information technologies, including NLP, speech, MT, computational linguistics, text mining, machine
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to academic leadership. Renowned for his work in Big Data and healthcare innovation, Dr. Madigan has authored over 200 publications covering topics such as Bayesian statistics, text mining, and probabilistic