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agents for data analysis, and the design of interactive systems that keep human analysts in control of AI-assisted sensemaking. Responsibilities Conduct research on agentic visualization: generative AI
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work practices This is a full-time (37 hours/week) on-site role located at Åbogade 34, 8200 Aarhus N, Denmark. Contact information For more information contact Professor Eve Hoggan, [email protected]
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observations and field data collection. Strong competence in data preparation/analysis/visualization with Python, R, or a similar scripting and visualization language. Experience with high performance computing
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-electron-driven nanophotonics and X-ray generation is a major bonus Additional Information For all roles, key responsibilities also include: Leading papers and publishing in high-impact journals. Presenting
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within visual media, for example using biometric and privacy-preserving representations, and connecting these signals to provenance and licensing information using standards such as C2PA (Content
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within visual media, for example using biometric and privacy-preserving representations, and connecting these signals to provenance and licensing information using standards such as C2PA (Content
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Analysi s Experience analysing high-dimensional biological datasets. Proficiency in R for statistical analysis, visualization, and reproducible data analysis. Experience with packages such as Seurat
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-making, and collective action. The Postdoctoral Fellow will help extract relevant open-source information in a guided snowball data collection manner by leveraging cyber forensics and deep web search-based
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decision-making, and collective action. The Postdoctoral Fellow will help extract relevant open-source information in a guided snowball data collection manner by leveraging cyber forensics and deep web
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, and collective action. The Postdoctoral Fellow will help extract relevant open-source information in a guided snowball data collection manner by leveraging cyber forensics and deep web search-based