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, Recreation and Sport Leadership, Sales and Financing in Recreation and Sport, Introduction to Recreation and Sport Management, Sport Analytics, and Sport in Contemporary Society. Coastal Carolina University is
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research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data Analytics and Management; (iii) Computer Vision and Pattern Recognition; and (iv
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to develop a powerful analytical workflow for the characterization and identification of the best hits while reducing reagent consumption. Miniaturized affinity chromatography in-line coupled with mass
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, luminescence dating, ecosystems science, environmental forensics, sediment and water analysis, and eDNA. The Geolabs support multiple research groups and host major analytical facilities, including ICP-MS and
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-characterized samples to identify novel biomarkers and causal and druggable targets. We are seeking motivated postdocs with strong analytical skills to join our effort and generate novel insights
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mechanisms for distributed learning, real-time analytics, and AI-driven decision-making across heterogeneous environments (edge-cloud), contributing to the realization of intelligent and self-optimizing 6G
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for QMSS (including which course(s), if applicable) and the skills (e.g., analytical tools such as Excel, R, Tableau, Python, etc.) and experiences (e.g., jobs, internships, research, coursework, teaching
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graduate and undergraduate courses in one or more of the following areas: financial accounting, managerial accounting, accounting information systems, accounting analytics and taxation. Being able to teach
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
management scenarios. Reference : Postic et al. 2025 GMD. https://gmd.copernicus.org/articles/18/7603/2025/ Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5175-XAVMOR-003/Default.aspx Requirements
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
performance under different acquisition conditions and across different types of plant communities, programming and automating analytical workflows in Python and R, and integrating these workflows with