76 Computer Science "https:" "https:" "https:" "https:" "https:" Fellowship positions at University of Oslo
Sort by
Refine Your Search
-
Research Fellow in Machine Learning and Applied Cognitive Neuroscience available at the Department of Informatics. The fellowship period is three years. Depending on the candidate and the teaching needs
-
to enable targeted delivery of therapeutic molecules. The project adopts a multidisciplinary approach, integrating expertise from computational sciences, chemistry, pharmacy, biology, and medicine
-
in molecular immunology to be based at the Institute of Basic Medical Sciences, University of Oslo, Norway. The research fellow must take part in the Faculty of Medicine's approved PhD program and is
-
position Position as PhD Research Fellow in Identity and Access Management available at Department of Informatics. The fellowship period is three years. Depending on the candidate and the teaching needs
-
position We invite applications for position as PhD Research Fellow in Multisensory Networked Interactions with Robotics Avatars available at Department of Informatics. The fellowship period is three years
-
Fellow in High-Performance Computing available at Department of Informatics. The fellowship period is three years. Depending on the candidate and the teaching needs of the department, the fellowship period
-
UiO/Anders Lien 15th August 2026 Languages English English English PhD Research Fellow in computer science/AI for energy informatics Apply for this job See advertisement About the position We invite
-
of the Faculty of Social Sciences PhD Programme as part of the doctoral training. The successful candidate will conduct ethnographic, qualitative or mixed-methods fieldwork in India and develop a PhD project in
-
Research Fellow in Formal Methods and Knowledge Representation for Engineering Information at the Department of Informatics. Starting date no later than 31.12.2026. The fellowship period is three years
-
our PhD program that include an educational component. This position is well suited for candidates who are highly motivated by fundamental science and excited about questions related to capillary flows