Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of Bergen
- University of Oslo
- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- NTNU Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- NTNU - Norwegian University of Science and Technology
- University of Agder (UiA)
- University of Stavanger
- ; Chr. Michelsen Institute (CMI)
- NHH Norwegian School of Economics
- NTNU
- Nature Careers
- OsloMet
- SINTEF
- University of South-Eastern Norway
- Western Norway University of Applied Sciences
- 6 more »
- « less
-
Field
-
recognized as equivalent to a Norwegian PhD in architecture, urban design, planning or other relevant subjects, or equivalent practice-based experience, within the same subjects. If you can document that
-
Norwegian doctoral degree or corresponding foreign doctoral degree recognized as equivalent to a Norwegian PhD in architecture, urban design, planning or other relevant subjects, or equivalent practice-based
-
corresponding foreign doctoral degree recognized as equivalent to a Norwegian PhD in architecture, urban design, planning or other relevant subjects, or equivalent practice-based experience, within the same
-
Norwegian doctoral degree or corresponding foreign doctoral degree recognized as equivalent to a Norwegian PhD in architecture, urban design, planning or other relevant subjects, or equivalent practice-based
-
and European Languages , University of Oslo. The position is linked with the research project JEUX (ERC). JEUX explores how cultural practices as a potential site for creativity, innovation and
-
of women employed in scientific positions and has a number of resources to promote equality . The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the innovation capital
-
is a modern European city with a rich cultural scene. Trondheim is the innovation capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools
-
location, and still make use of the full capability of the partners capabilities during the testing. To ensure that the equipment is used and has a required level of protection, the FACT project will design
-
anomaly detection, ML-based IDS, and adversarial training, combined with security- and privacy-by-design, explainable AI, and threat intelligence. cPAID will also develop a methodology to ensure AI system
-
AI defence methods like AI-assisted anomaly detection, ML-based IDS, and adversarial training, combined with security- and privacy-by-design, explainable AI, and threat intelligence. cPAID will also