Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
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
-
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
-
Learning Apply for this job See advertisement About the position Position as Postdoctoral Research Fellow available in Machine Learning is available in the Department of Informatics and the Norwegian Centre
-
for this job See advertisement About the position Position as PhD Research Fellow in Machine Learning is available in the Department of Informatics and the Norwegian Centre of Excellence Integreat . Starting
-
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
-
Learning at the Department of Informatics. The appointment is for a fulltime position and for a period of 2.5 years (30 months). Starting date no later than 01.01.2026. Job description The position forms
-
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
-
position Position as PhD Research Fellow is available at the Department of Technology Systems (ITS) as a part of the European ATLAST2 Project. The project is a concept for a next generation 50-meter class
-
centre SHARE – Centre for Resilience in Health Care are also part of the faculty. There are currently 250 employees including students and postdocs, and 1400 students at The Faculty of Health Sciences
-
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