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strategies to reduce hallucinations or improve model confidence Evaluate and benchmark against state-of-the-art methods the reliability and robustness of the hallucination detection system under diverse visual
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
software tools, analytical and modeling pipelines, automation scripts, dashboards, visualization systems, and AI enabled research assistants. The role is strongly end user focused, emphasizing co design with
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and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled experiments is also desired, but not required
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About the Opportunity Responsibilities: Instructional areas included, but are not limited to, analytics, with particular expertise in probability and statistics, data exploration, data visualization
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seeking to hire a Full-Stack Machine Learning Engineer (MLE) / Data Scientist (DS) to support the end-to-end management, analysis, and visualization of behavioral and clinical data streams. The full-stack
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system. Physical Requirements (With or Without Accommodations): • Visual acuity to read information from computer screens, forms and other printed materials and information. • Able to speak (enunciate
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Responsibilities The Visualization Design Lab at Graz University of Technology is seeking a highly motivated Predoctoral Researcher (PhD Student) at TU Graz. The student will be supervised by Prof. Alexander Lex
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Engineering in the 2025 QS World University Rankings by Subjects. The EEE Rapid-Rich Object SEarch (ROSE) Lab focuses on research in: (i) visual search & retrieval, (ii) video analytics & deep learning, and
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equipment using ammeter, voltmeter, ohmmeter, drawings, and visual inspection; installs and troubleshoots variable frequency drives and similar equipment; will read and interpret blueprints, diagrams
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of collecting, network of contacts, and her strategies and systems for categorising her visual and textual materials. The project asks larger questions around the role of women collectors, knowledge practices