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Language Lab investigates the neurobiological foundations of language and auditory processing, with a particular focus on individual differences, multilingual and multiliterate experience, language
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biochemical and biophysical assays, to understand how these machines recognize and process their RNA substrates. For further details about the Falk lab, please visit https://www.maxperutzlabs.ac.at/research
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metabolomics and AI) Build, maintain, and execute automated data-processing pipelines using Python and/or R. Implement statistics, database matching, and quality control algorithms. The successful candidate
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: Participation in research projects and scientific studies focused on applying computational methods to psychological and clinical domains, especially large language models, natural language processing
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Experience in the collection, processing and analysis of spoken and/or written German language data Knowledge of NLP methods, as well as experience with large language models, would be desirable. Experience
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yourself (links to a GitHub profile or a scraping/NLP project you have built are welcome) Experience with natural language processing (text classification, embeddings, LLM-based extraction) is a strong
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candidate will combine synthetic chemistry, nanomaterials processing, and advanced characterization techniques within an interdisciplinary team working at the interface of inorganic chemistry
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our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: The Doctoral School of Ecology and Evolution ( https://vds-ecology-evolution.univie.ac.at
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mentorship: https://ds-philkult.univie.ac.at/en/about-us/the-twelve-sections/middle-ages-and-early-modern-age/ https://www.germ.univie.ac.at/aeltere-deutsche-sprache-und-literatur/ Your academic profile
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, geocommunication, and geo-visualization. Our topical and cultural diversity and varied academic backgrounds are key to our success ( https://geographie.univie.ac.at/arbeitsgruppen/kartographie-und