Sort by
Refine Your Search
-
Listed
-
Employer
- NTNU - Norwegian University of Science and Technology
- Nord University
- University of Bergen
- University of Oslo
- OsloMet
- Norwegian University of Life Sciences (NMBU)
- UiT The Arctic University of Norway
- Molde University College
- NHH Norwegian School of Economics
- NORCE
- NTNU
- NTNU Norwegian University of Science and Technology
- Norwegian Meteorological Institute
- University of Oxford
- 4 more »
- « less
-
Field
-
Ine-Therese Pedersen 15th August 2025 Languages English Norsk Bokmål English English PhD position in Deep Learning for Metocean Data Apply for this job See advertisement About us We are announcing a
-
in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video
-
. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position
-
Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable
-
cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application
-
1 Sep 2025 Job Information Organisation/Company University of Bergen Department Department of Clinical Medicine Research Field Medical sciences » Medicine Pharmacological sciences » Other
-
29 Aug 2025 Job Information Organisation/Company University of Bergen Department Department of Clinical Medicine Research Field Medical sciences Neurosciences Pharmacological sciences Researcher
-
to incorporate additional field data. This PhD project offers a great opportunity to work with large-scale biodiversity and climate datasets, develop strong analytical skills, and collaborate with international
-
systems, and society. In this project, we have established comprehensive databases combining nationwide Norwegian health and socioeconomic registry data, biobanks and patient-reported data. Using advanced
-
: WP1 will analyze large-scale registry data from the Nordic countries and England to assess the safety of modern ASMs. WP2 will investigate genetic, epigenetic, and pharmacological markers of ASM-related