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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
computational modeling. * Interact cross-functionally: work with people across the team to find creative solutions and deliver them. * Skilled at data visualization and presentation: The candidate may be called
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well as tumor/tumor microenvironment interactions in gliomas and pediatric embryonal brain tumors. Projects in the Cavalli lab are developed within a dynamic and collaborative environment with other researchers
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of the research group, School or College. To interact closely with postgraduate research students who are studying for a Masters or a PhD and possibly have an agreed role in supporting these students in their day
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and software tools for visualizing and analyzing materials characterization data Develop novel, data-driven materials characterization workflows Advance understanding of process-structure-property
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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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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | about 2 months ago
the world, animals are constantly making decisions while on the move—decisions that determine where to feed, where to hide, and with whom to interact. Motion is not simply a consequence of decisions; it
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activities in this project Support other electrochemical studies (e.g., batteries) within the group Your network and team Aalto University established a characterization platform for visualization and analysis
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of how different road users, and especially KWGs, interact at the micro level - an area where current macro analyses fall short. Your role as a researcher with us is crucial to fill this gap and
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to the computational analysis of visual culture in the humanities. The postdoctoral researcher will work closely with the project PIs, Lauren Tilton and Taylor Arnold, to develop and implement educational resources
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forms of search aids and corpus visualization tools. Specifically, the project will contribute to addressing two issues: (1) the lack of understanding of available archival representations and the way