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Transparency). The main tasks will be to: Develop AI-assisted tools leveraging large language models (LLMs) to support community-based fact-checking Designi and evaluate methods to improve the robustness
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to train and test them - Research, evaluate, and document available AI tools and applications that are the best fit for public safety AI communications solutions - Document the AI dataset
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trips, plus an elective course. Examples of elective courses could include aqueous geochemistry, geomorphology, soils, glaciology, GIS, or numerical modeling. We are seeking candidates who can demonstrate
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the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https://www.naiss.se , https://eurohpc-ju.europa.eu/ai-factories_en The position In this role your responsibility is
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, and machine learning models for functional genomics research in mycobacteria. Responsibilities Responsibilities include: Develop and maintain Django-based web applications and databases for sharing
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strategy. Lead the Coyote Ambassador program, including hiring, training, scheduling, and performance management. Develop training and staffing models to ensure high-quality tours and support events
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University of California Riverside School of Medicine | Riverside, California | United States | 16 days ago
-model, peer mentor, and advocate for the Internal Medicine residents. - The PGY4 Internal Medicine Chief Resident position requires a commitment to fulfilling academic and administrative responsibilities
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. Background Checks The successful candidate(s) for this position will be subject to a pre-employment background check including education verification. EEO is the Law: https://www.eeoc.gov/sites/default/files
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, KY Grade Level 45 Salary Range $47,278-78,000/year Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about equivalencies: https://hr.uky.edu
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: Computational, Quantitative, and Predictive Modeling of Root Systems. This position emphasizes integration of phenomics and other -omics data into predictive frameworks. Research areas may include: Structural