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Network. https://www.eu4greenfielddata.eu/ ***Double Degree PhD Scholarship in Computer Science Opportunity: "Optimization-simulation coupling for the GHG emission estimation based supervision and
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behavioral economics, forecasting economic indicators, or modeling complex market equilibria—using tools from machine learning. The successful candidate will be expected to maintain a vibrant, externally
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our past / current projects include Global.health ( https://global.health ): an improved, scalable platform for disease tracking created by an international team of researchers from leading institutions
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enterprise tools. (Required) Knowledge of and experience in installing, maintaining, upgrading, and repairing computer hardware and peripherals for a large user base. (Required) Experience with web design and
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, components, and processes along with involved materials, thus providing mechanics-based solutions and virtual solution tools to our engineering challenges. About the research project When adopting new high
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 1 day ago
lives. The Theis Lab at the Computational Health Center is internationally recognized for pioneering methods in machine learning, single-cell analysis, and computational modeling of complex biological
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Interaction / Human-Centred Artificial Intelligence Help shape the future of work. This PhD project investigates how collaborative AI agents can support communication, learning, and shared understanding in blue
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with IT organizations. Equipment Utilized Standard office and meeting technologies (computer, telephone, videoconferencing tools). Enterprise data platforms and reporting environments, including: SQL
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classification, compliance requirements, and cybersecurity awareness program delivery Job Summary Leverages skills and tools to identify security concerns affecting campus systems. Creates, monitors, and maintains
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combinations of structural and functional properties, using both simulations for machine learning and experimental validation. Fabrication tools and methods are already established in our laboratory. Key