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RESPONSABILITIES The Mapping Actions for Regenerative Business Leadership across Sectors (MARBLES) project aims to gain a broad empirical understanding regarding regenerative business practices across various
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employment outcomes. Key Responsibilities Campus Logistics & Venue Coordination Reserve on-campus venues (e.g., student union, athletic facilities) and map floor plans. Coordinate with campus partners
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processing, geospatial analysis, reproducible workflow development and preparation of map products. The work will include satellite time-series analysis for phenology mapping, integration of climate and
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transportation. Assist with the coordination of bike locker/sheltered bike parking. Assist with electric vehicle charging program. Assist with programming related to pedestrians, safety programs, wayfinding/maps
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— mapping current/future-state workflows and tracking cycle times, error rates, and improvement metrics — and support the Chief of Staff in benchmarking IT business operations against peer institutions and
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surfaces, and models microbial (de-)contamination dynamics under tropical conditions. Work includes biofilm assays, microbial growth/inactivation kinetics, contamination pathway mapping, and hygiene protocol
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for the creation of risk maps and the definition of damage indicators focused on their quantification. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/27660208 Requirements Research
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. Reconcile HRMS & CHRS with financial systems and resolve complex discrepancies. Maintain and validate HRMS data tables for labor cost mapping. Provide input on system enhancements, testing, and implementation
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/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving the ability
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/ triplestores (e.g., GraphDB, Virtuoso, Neo4j), and semantic data integration/mapping tools (e.g., RML, R2RML). - Familiarity with AI-driven approaches for semantic integration, such as Multi-Agent Systems, NLP