330 data "https:" "https:" "https:" "https:" "UNIV" Fellowship research jobs in Norway
Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oslo
- University of Bergen
- UiT The Arctic University of Norway
- NTNU - Norwegian University of Science and Technology
- Nord University
- University of Stavanger
- University of Agder
- NTNU Norwegian University of Science and Technology
- University of Inland Norway
- CMI - Chr. Michelsen Institute
- Høgskulen i Volda
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NORCE Norwegian Research Centre
- Norwegian Institute of Bioeconomy Research
- OsloMet - storbyuniversitetet
- OsloMet – Oslo Metropolitan University
- Simula Research Laboratory
- Simula UiB
- The Norwegian Polar Institute
- University of Agder (UiA)
- University of Oslo;
- Østfold University College
- 12 more »
- « less
-
Field
-
the job application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here . We hope
-
these will be taken into account when ranking the candidates. the names and contact information for two referees. One of these should be the main advisor for the master's thesis or equivalent thesis CV
-
workplace in continuous development Flexible working hours Active university sports teams General information The person who is appointed must abide by the applicable laws, agreements, and directives
-
for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here . We hope you will apply for the position with us
-
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
-
solvers, with the goal of exploiting models of various complexity, ranging from high-performance computing, via reduced-order models to data-driven (machine-learned) representations. In particular, we
-
information through search engines, social media, and artificial intelligence rather than consulting traditional, verified sources. This raises important questions about how public information is disseminated
-
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
-
employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . ... (Video unable to load from YouTube. Accept
-
. The postdoctoral fellow will collect and analyse qualitative data (video data, interviews in groups and individually) collected in a selection of classes in upper secondary schools. The qualifying project will be