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- GESIS - Leibniz Institut für Sozialwissenschaften
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for answering social science questions through mining and understanding of heterogeneous Web data using techniques from NLP and deep learning. Special emphasis will be placed on transparency, fairness, and
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national financial supervisory authorities and researchers. This position involves occasional travelling in Europe. Do you have experience with climate and ESG data and text mining techniques? Would you like
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are using novel approaches to data collection (e.g., web scraping, web tracking, smartphone apps) as well as different types of analysis methods (e.g., machine learning, network analysis, text and data mining
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national financial supervisory authorities and researchers. This position involves occasional travelling in Europe. Do you have experience with climate and ESG data and text mining techniques? Would you like
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the European Union. The successful candidate will lead the development of AI‑powered data integration strategies for genetically informed drug target discovery that build the foundation for an open access community
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will be: Supervise scientific projects from a variety of scientific and engineering research areas with questions in AI, machine learning, and data mining Project-based interaction with data-savvy domain
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regulatory requirements framework Excellent command of coding softwares (Python, STATA, etc) Strong background and proven experience of work with unstructured data, text mining, natural language processing
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4 Mar 2024 Job Information Organisation/Company Jena School for Microbial Communication (JSMC) Department Friedrich Schiller University Jena Research Field Biological sciences » Biology Biological
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Brandenburg University of Technology Cottbus-Senftenberg | Cottbus, Brandenburg | Germany | 2 months ago
of data mining, machine learning, statistics and result visualization concepts is of advantage Excellent working knowledge of English; German is of advantage Excellent communication skills For more
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computer science with very good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience