Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Oslo
- University of Bergen
- Norwegian University of Life Sciences (NMBU)
- University of South-Eastern Norway
- BI Norwegian Business School
- jobs.ac.uk
- Nord University
- Norwegian Institute of Bioeconomy Research
- The Norwegian School of Sport Sciences
- Molde University College
- NTNU
- OsloMet – Oslo Metropolitan University
- UNIS
- UiT The Arctic University of Norway
- University of Inland Norway
- University of Stavanger
- 8 more »
- « less
-
Field
-
master’s degree. Please see https://hkdir.no/en/ for more information about HK-dir’s general recognition. The review process by HK-dir may take some time. Therefore, please submit your application to HK-dir
-
, but for example: University of Ulm (Germany): Algorithms for wearable data analysis University of Manchester (UK): Mathematical modeling of hormone rhythms Qualifications and personal qualities: We
-
on AI-empowered asset management using drone inspections and available asset management historical data. The aim is to enhance the asset and network resilience of ports by training an AI model on ferry
-
to investigate the potential of using Implicit Neural Representation (INR), a class of neural networks, for reconstructing MR images directly from MR signals. By incorporating a physical model of the
-
for identifying concentration, floe size, geometry, and possibly stage of development. The plan is to build models so that radar measurements alone can be used to populate, as far as possible, the Stage
-
Borlaug Faggruppeleder +4799305003 [email protected] Manjana Milkoreit Førsteamanuensis +47922 81 887 [email protected] Where to apply Website https://academicpositions.com/ad/oslo
-
element simulations, blast loading models, propagation of pressure waves in the ground and soil–structure interaction analyses to establish methods for assessing the protective capacity of existing
-
absorption in gasification of biomass. The overall approach is lab-scale experiments in combination with Computational Particle Fluid Dynamic (CPFD) model development. The person appointed will be affiliated
-
of battery materials in addition to the advanced knowledge in X-ray based characterization techniques. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/305695/researcher-in
-
SINTEF Ocean; FME Martrans https://martrans.no/ and the Norwegian Maritime AI Centre https://www.ntnu.edu/mai The research is foreseen to focus on fluid-dynamic properties of the different sail types