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. Proficiency in SQL, Python/R, or similar tools; experience with big data platforms , machine learning, and data warehousing. Commitment to quality, integrity, confidentiality and compliance. Excellent
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18 Apr 2026 Job Information Organisation/Company CNRS Department Institut de Minéralogie, de Physique des Matériaux et de Cosmochimie Research Field Engineering Computer science Mathematics
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Science at Fred Hutch Recent advancements in statistics, computational techniques, and experimental technologies are transforming how we generate and analyze data. This big data has big potential
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Research FieldEnvironmental science Additional Information Additional comments Reference: 2026DILIFRUA37 Programmes: HEU-101139598-C2G Commit to Green & HEU-101116435-BIG-5 You will find the bases
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
Experience * Proficiency in analyzing functional magnetic resonance imaging data. * Demonstrated skill in manuscript preparation, managing large datasets, multivariate analytical approaches, and/or
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research tasks related to the CULTS project. Main tasks include scraping (from open sources), organizing, and analyzing large amounts of rhetorical and behavioral communication (text data) of (primarily
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well as secondary data wrangling and analyses on large, cross-national datasets from dozens of countries across 4 waves on adolescent identity, school experiences, and social outcomes. This role will also entail
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and experimentation in the area of Multi-agent Agentic AI systems applied to 6G network and service management. By leveraging recent advances in Large Language Models (LLM) and other key agentic tools
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17 Apr 2026 Job Information Organisation/Company CNRS Department Ecologie et dynamique des systèmes anthropisés Research Field Geosciences Biological sciences Researcher Profile First Stage
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17 Apr 2026 Job Information Organisation/Company CNRS Department Institut des matériaux de Nantes Jean Rouxel Research Field Physics Researcher Profile Recognised Researcher (R2) Application