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of texts, and documents. The position’s research focus is directed toward methods to automatically detect generated, or altered content in documents submitted to a financial institution. The successful
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, or personal documents such as certificates of ownership. Generative AI possesses the ability to generate realistic sequences of texts, and documents. The position’s research focus is directed toward methods
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networks bridging metadata, text mining and FAIR data principles Contribute to publications, funding bids, and supervision of students You will have: A PhD or equivalent experience in life science or
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networks bridging metadata, text mining and FAIR data principles Contribute to publications, funding bids, and supervision of students You will have: A PhD or equivalent experience in life science or
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Information Analysis (NLP4BIA) group at BSC is an internationally renowned research group working on the development of NLP, language technology, and text-mining solutions applied primarily to biomedical and
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experience relevant for your further career, including in project management, survey research, content analysis, text scraping, and text mining. The position is specifically designed to help you build up a
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Familiarity with topic modeling, semantic modeling, or other text mining approaches Experience working with large-scale genomic datasets (e.g., UKBB, FinnGen) Knowledge of in vitro safety assays and
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an environmental focus. This may include, but is not limited to: Mining, infrastructure, and resource extraction Human-animal relations Cosmopolitics and perceptions of the environment Biodiversity and zoonotic
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Postdoctoral Fellow with Assistant Professor Tracy Ke. Assistant Professor Ke’s lab focuses on research in high-dimensional data analysis, machine learning, social network analysis, text mining, bioinformatics