Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- UiT The Arctic University of Norway
- University of Stavanger
- University of Agder
- University of Bergen
- University of South-Eastern Norway
- NTNU Norwegian University of Science and Technology
- OsloMet
- NORCE Norwegian Research Centre
- OsloMet – Oslo Metropolitan University
- University of Agder (UiA)
- University of Inland Norway
- Western Norway University of Applied Sciences
- 3 more »
- « less
-
Field
-
questions and data of CREATE. The successful candidate will conduct advanced methodological and psychometric research. Potential topics include (a) AI, machine learning, and large language models
-
completed master's degrees taught in English in a EU/EEA country Applicants who are exempt based on HK-dir's GSU list We offer a PhD education in a large, exciting and societally important organisation
-
education in a large, exciting and socially important organisation an professional work community which is developing rapidly. We strive to include employees at all levels in strategic decisions and promote
-
begin in the new Life Science Building , with access to state-of-the-art equipment and a large interdisciplinary environment spanning chemistry, pharmacy, bioscience, and medicine. For more information
-
8 Feb 2026 Job Information Organisation/Company University of Oslo Research Field Mathematics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Mar 2026
-
active galactic nuclei. The successful candidate will also post-processing large sets of simulation data and make detailed comparison with multi-wavelength observations of the stellar and gaseous
-
The position An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . Goal: Develop
-
are exempt based on HK-dir's GSU list We offer a PhD education in a large, exciting and societally important organisation an ambitious work community which is developing rapidly. We strive to include employees
-
availability of large-scale genotype data across Europe, along with detailed register and survey data from several countries, to map out how specific genetic factors covary with and interact with our
-
big data and advanced methods for modeling exposures, we will establish real-world patterns of hormonal contraceptive use and mental disorders, and identify potential moderating factors such as