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Field
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The ALCF has an opening for a postdoctoral position in AI-assisted scientific visualization and intelligent data exploration. The successful candidate will join the Visualization and Data Analytics
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commercial business intelligence and visualization tools (e.g., Tableau and Microsoft Power BI). Place of work Department of Computer Science, Aarhus University, Åbogade 34, 8200 Aarhus N. For more information
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to create visual materials or research graphics are desirable. Demonstrated interest in artificial intelligence, computational pathology, biomedical imaging, or related research areas. Special Instructions
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and exploring technological advancements in the field. Background and Objectives As part of the project titled “Development of an Intelligent Geospatial Interface for Panel 8 of the Benguerir Phosphate
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Theory Driven Artificial Intelligence to Boost the Science of Learning (AI4SoL) Project Introduction: The use of educational technologies is increasingly becoming more ubiquitous in mathematics education
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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Visualization You will participate in the development of interactive dashboards and visual analytics tools. Activities will include designing visualizations that enable FDA staff to efficiently explore and
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of the project] * Background of the recruitment and description of the project [Outline of Laboratory / Division] The RIKEN Center for Advanced Intelligence Project (AIP) is a leading international hub for state
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artificial intelligence projects. Students may work up to 15 hours per week. Job Duties Data Simulation: Assist in generating and simulating datasets using computational tools and programming environments
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methodologies (longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systemic review methods), and statistical analysis (data visualization, descriptive analyses