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. The postdoc will also be associated with the interdisciplinary LEAD AI project at UiB, funded by The European Research Council. The Department of Information Science and Media Studies conducts interdisciplinary
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/research-groups-and-networks . The postdoc will also be associated with the interdisciplinary LEAD AI project at UiB, funded by The European Research Council. The Department of Information Science and Media
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . ... (Video unable to load
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This position requires: a Norwegian doctoral degree within a field relevant for the research theme of the position (i.e., computer science, physics, mathematics, or environmental science), or a corresponding
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20th June 2025 Languages English English English The Department of Physics has a vacancy for a Postdoc position in multiphase flow in porous media Apply for this job See advertisement This is NTNU
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researching user experiences with AI in the news media. The postdoc will form part of the team for the project “IMAGINE: Citizen perceptions of AI in everyday media life”, funded by The Research Council
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are looking for an ambitious scholar interested in researching user experiences with AI in the news media. The postdoc will form part of the team for the project “IMAGINE: Citizen perceptions of AI in everyday
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research program and group, teaching and supervising BSc and MSc students, PhD candidates and postdoc fellows. Promotes an inclusive, and supportive work environment. Is ambitious and open to tackling new
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postdocs, another doctoral fellow, a research adviser, a data management expert and a research assistant. AI STORIES explores the hypothesis that deep narrative structures in the datasets used to train
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Literature. The AI STORIES project is a European Research Council Advanced Grant led by Professor Jill Walker Rettberg, with a team of three postdocs, another doctoral fellow, a research adviser, a data