Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Bergen
- NHH Norwegian School of Economics
- Norwegian University of Life Sciences (NMBU)
- OsloMet
- University of Oslo
- Oslo National Academy of the Arts
- UiT The Arctic University of Norway
- BI Norwegian Business School
- ;
- MF Norwegian School of Theology, Religion and Society
- Molde University College
- NORCE
- Nord University
- Norwegian Institute of International Affairs
- Norwegian Institute of Science and Technology (NTNU)
- OsloMet – Oslo Metropolitan University
- Simula UiB AS
- The Norwegian School of Sport Sciences
- University of Agder (UiA)
- University of South-Eastern Norway
- Østfold University College
- 13 more »
- « less
-
Field
-
PhD project. Fluency in both oral and written English is required, see documentation requirements for further details. The applicant’s personal suitability for the position is a significant factor in
-
installed wind energy capacities offshore the need for a safe, cost-effective, and efficient method of personnel transfer is essential. Gangways from service operation vessels have emerged as the preferred
-
for research-based AI Innovation hosted at NTNU in Trondheim, Norway. Research areas cover competences that the Norwegian industry needs to develop cutting-edge theories, methods and technology, for
-
qualitative research methods is required. The project language is English and the applicants should have an excellent command of the English language, written and spoken. Applicants must be able to work
-
other commercially valuable elements from brines and recycled batteries. However, current extraction processes face challenges related to ion selectivity and transport efficiency, limiting the performance
-
engineering. Your supervisor will be Professor Daniel Rettenwander. About the project There is an increasing need to extract lithium and other commercially valuable elements from brines and recycled batteries
-
methods is an advantage, but not necessary Capacity to develop and apply innovative research methods in implant debridement. Personal skills Strong motivation for translational oral‑health research Ability
-
to develop cutting-edge theories, methods and technology, for efficient, effective and responsible exploitation of data-driven AI in industrial solutions. Currently the center concentrates their activities
-
familiarity with laboratory methods, such as qPCR, immunohistochemistry and flow cytometry are required. Experience in use of omics tools and handling of big dataset as well as analysis of data using R software
-
chambers, and political polarisation. The results will be new digital tools, analysis methods, and content types for the future of media. The centre performs research training within media technology and