Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- University of Bergen
- University of Stavanger
- UiT The Arctic University of Norway
- Nord University
- NTNU Norwegian University of Science and Technology
- NTNU - Norwegian University of Science and Technology
- University of Agder
- University of Agder (UiA)
- OsloMet
- OsloMet – Oslo Metropolitan University
- The Oslo School of Architecture and Design (AHO)
- BI Norwegian Business School
- ;
- CICERO Center for International Climate Research
- CMI - Chr. Michelsen Institute
- King's College London
- Norwegian Academy of Music
- OsloMet - storbyuniversitetet
- University of Inland Norway
- Western Norway University of Applied Sciences
- 11 more »
- « less
-
Field
-
Centre at the University of Oslo as a Postdoctoral Research Fellow in AI and creativity! Postdoctoral Research Fellow in AI Methods for Creative Applications Apply for this job See advertisement About the
-
David Jensen 4th January 2026 Languages English English English Faculty of Science and Technology PhD Fellow in Generative AI Methods for Cultural Fidelity Apply for this job See advertisement
-
Research Fellow in AI Methods for Creative Applications Apply for this job See advertisement About the position Position as Postdoctoral Research Fellow available at Department of Informatics, University
-
University of Oslo, Department of Mathematics, Section for Statistics and Data Science, invites applications for a PhD fellowship within the research project “Statistical Methods for Online Detection
-
and spatial dimensions of urban development, asking how the analytical tools and representational methods used in early-phase planning shape end outcomes on the ground. Specifically, the PhD project
-
theory of the finite element method is an advantage. Competence in the theory of numerical optimization is an advantage. Experience from high-performance computing is an advantage. Applicants must be able
-
that the master's degree has been awarded. Programming skills, e.g., Fortran or C++, is a requirement. Competence in the theory of the finite element method is an advantage. Competence in the theory
-
expertise in computational methods. Documented experience with R or Python programming is also very desirable. Experience in one or more of the following is an advantage: finite-sample statistical theory
-
Fellow (SKO 1352) with specialisation in public policy and administration, comparative politics or international relations. The successful applicant will work with the political science component of
-
at the university campus in Stavanger. The core element of this PhD project is to use physics-based and data-driven modeling approaches for developing accurate models for real-time optimization and control