71 assistant-professor-computer-science-and-data Fellowship positions at University of Oslo
Sort by
Refine Your Search
-
researchers across the world. For more information: Democracy, Children and Representation - Department of Education and Humanities Studies in Education (HumStud) - Faculty of Educational Sciences More about
-
career-promoting work, that consists of teaching and supervision duties and research assistance. The research fellow must take part in the faculty’s approved PhD program and is expected to complete
-
Faculty of Educational Sciences. CREATE’s objective is to generate novel knowledge about how to reduce inequalities in education. Questions about the position Esther Ulitzsch Associate Professor
-
powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
-
flow law, compare it to similar research on olivine, and help implementing this model into the geodynamic software ASPECT. The aim is to develop a single method for anisotropic flow modelling for both
-
full member of the team aiming at successfully completing the project’s goals. The candidate will help coordinating data collection for the iterative learning experiments in the laboratory and iconicity
-
an interdisciplinary learning assistant (I-LA) program to support learning of interdisciplinary competencies and to build a community for interdisciplinary learning. The PhD research fellow is expected to contribute
-
the Faculty of Social Sciences’ organized research education programme and the completion of a doctorate in human geography. The candidates who are hired will automatically be admitted to the PhD programme
-
: Prior experience with analysis of observational remote sensing data sets and/or numerical model output related to cloud properties is desirable. Strong computational skills, and ideally experience with
-
The postdoctoral fellow will be a full member of the team aiming at successfully completing the project’s goals. The candidate will help coordinating data collection for the iterative learning experiments in