Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
. 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
-
/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
-
PhD Research Fellow in applied and computational mathematics Apply for this job See advertisement UiB - Knowledge that shapes society Through robust and close interaction with the world around us
-
analyses of data from large patient cohorts. The ideal candidate publishes at a high international level, including several first- and last author publications without co-authorship of PhD or postdoc
-
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
-
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
-
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
-
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
-
innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101126560. The LEAD AI programme offers high-quality inter- and transdisciplinary research and training opportunities in the area of
-
tool in such applications, but the computational cost of producing ensembles at high enough resolution and with enough members to adequately sample internal variability and capture rare events is a