Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- NTNU - Norwegian University of Science and Technology
- University of Oslo
- Norwegian University of Life Sciences (NMBU)
- University of Bergen
- OsloMet
- BI Norwegian Business School
- NTNU Norwegian University of Science and Technology
- Nord University
- Oslo National Academy of the Arts
- University of Agder
- University of Stavanger
- Østfold University College
- 2 more »
- « less
-
Field
-
evaluated based on the information available in Jobbnorge at the application deadline. You should ensure that your application shows clearly how your skills and experience meet the criteria which are set
-
documentation such as: certified copy of admission to a PhD programme programme summary of approximately one A4 sized sheet including information about your PhD project, topic, method, theoretical approach, and
-
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
-
-time professor position. PhD candidates will have their place of work at BI Norwegian Business School in Oslo, Norway. Additional information about the doctoral program, admission requirements, and the
-
project activities (organising events, producing website content, data management and storage, etc.), including international travel for project meetings and events (5%) Qualifications In this role, you
-
, and data interpretation, is an added advantage. Strong scientific writing skills, with a track record of peer-reviewed publications. Excellent communication and organizational skills, with the ability
-
located in three 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
-
provisions. General information UiA is an open and inclusive university. We believe that diversity enriches the workplace and makes us better. We, therefore, encourage qualified candidates to apply
-
“Regulatory Case Studies” led by professor Malgorzata Cyndecka. The theme of the PhD project is challenges and opportunities raised by the nature, use and regulation of synthetic data in light of, in
-
the nature, use and regulation of synthetic data in light of, in particular, the GDPR and AI Act while taking into account the purposes of AI LEARN. Work tasks and expectations Conduct independent and