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Field
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that release huge amounts of CO2. SusMet focuses on the exploration of carbon-free sustainable metallurgy, employing hydrogen as reducing agent, direct electroreduction (electrolysis), and plasma synthesis
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and the redaction of any information deemed sensitive within the case management system. Multi-tasks through various databases/applications in order to troubleshoot the customer¿s issue or inquiry in a
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, federated modeling frameworks, multi-agent systems, and AI pipelines for dairy farming applications. Develop, co-lead, and contribute to competitive grant proposals (federal, state, foundation, and industry
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multimodal neuroimaging, artificial intelligence, and multi-omics approaches to build diagnostic tools, identify biomarkers, develop models and tools to predict and improve treatment outcomes to impact
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strategies to protect forested landscapes from invasive species, wildfire, pests, extreme weather events, and other destructive agents Watershed management and water quality in forested areas Forest management
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and consistent data flow. Team with other engineering disciplines and commissioning agents to ensure projects and systems are operating within the required guidelines. Assist in the continued
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agents or study interventions, as appropriate. Demonstrates expertise in participant assessment related to oncology (and related diseases) and treatment as evidenced by documentation and observation
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML
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Overview: Shape the future of Generative AI, Agentic AI, Multi-modal Machine Learning and Small Language Models through world-class research and real-world impact. Full-time, ongoing role within
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Technology PhD programme: UiT - The Arctic University of Norway, Faculty of Science and Technology Starting date: preferably in 2026, by agreement Project 6: Multi-agent knowledge bases Employment: UiT