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University of Angers. More information here: https://www.univ-angers.fr/en/research/funding-and-projects/cap-europe/… Keywords: Computer Science – Semantic Web – Ontologies - Data mining - Data Integration
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) LanguagesENGLISHLevelExcellent Research FieldComputer scienceYears of Research Experience4 - 10 Additional Information Website for additional job details https://www.idiap.ch/en Work Location(s) Number of offers available1Company
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Observation, and Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing
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. The research and innovation outputs will inform work undertaken in the group in several large collaborative grants and application areas, including arts and culture, enterprise data management, legal compliance
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disciplines. We work on semantically structured data and interfaces, shared workflows, and contribute to engaging the growing ELM community in digitalized research. To coordinate and support the digitalization
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Internet, Earth Observation, and Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal
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laboratory tests and large-scale online (crowdsourcing) studies. • Acquiring and analyzing EEG (Electroencephalography) data to study the temporal dynamics of auditory perception, particularly the influence
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by University leadership and stakeholders. Responsibilities Power BI & Data Modeling Design, develop, and maintain Power BI semantic models and datasets using dimensional and star-schema best practices
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, and curated semantic datasets for analytics and downstream consumption. Develop scalable transformation and modeling layers using dbt (or equivalent) and data modeling best practices (Kimball
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proficiency in Python or R — especially in data acquisition (e.g., API, web scraping) and text analysis (e.g., spaCy, NLTK) ability to work with large text collections, including formal media corpus (e.g., News