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
- jobs.ac.uk
- Nord University
- Norwegian Institute of Bioeconomy Research
- The Norwegian School of Sport Sciences
- Molde University College
- NTNU
- OsloMet – Oslo Metropolitan University
- UiT The Arctic University of Norway
- University of Inland Norway
- University of Stavanger
- 6 more »
- « less
-
Field
-
Adrian Svendsen Bensvik 3rd August 2026 Languages English English English PhD position in the use of Animal Models for the study of trauma and resuscitation Apply for this job See advertisement
-
the PhD position. The topic of the PhD fellowship is at the interface of numerical mathematics, agentic and generative AI models, and computer science. A successful candidate will be offered a three-year
-
3rd August 2026 Languages English English English We are looking for a PhD Candidate in Measuring Uncertainty and Risk with Agentic AI for Decision-Oriented Modelling Apply for this job See
-
This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is 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...
-
for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high
-
be the head of the computing unit. About the project The primary research goal will be to create quantitative performance models that describe a range of numerical methods, parallel programming models
-
for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high-dimensional data. Develop modular
-
of neural networks, for reconstructing MR images directly from MR signals. By incorporating a physical model of the MR signal into the training of the INR network, we aim to compensate for the effects
-
Particle Fluid Dynamic (CPFD) model development. The person appointed will be affiliated with the Research Group in Energy and Environmental Technology (URGENT). Duties Complete the doctoral programme up
-
the Cortex (https://www.ntnu.edu/kavli/centre-for-algorithms-in-the-cortex) will be funded for 10 years by the Norwegian Research Council. The scientific goal of the Kavli Institute for Systems Neuroscience