Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oslo
- NTNU Norwegian University of Science and Technology
- University of Bergen
- University of South-Eastern Norway
- ;
- Høgskulen i Volda
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NTNU - Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- Western Norway University of Applied Sciences
-
Field
-
of future reactor systems with a focus on systems relevant for Norway. The objective is to further develop and validate machine-learning surrogate models derived from high-fidelity multiphysics simulations
-
theoretical statistics and data science, and is heavily involved in research at the crossing of statistics and machine learning. Modern vessels produce vast amounts of multivariate data streams. The project
-
research in various areas of mobile network systems, multimedia and AR/VR/XR systems, robotics and machine learning, focusing on fundamental aspects as well as on applications in multidisciplinary contexts
-
environment Be prepared for adjustments to work tasks following appointment Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/304467/phd-research-fellow-in-ma… Requirements Research
-
convergence of high-performance computing (HPC) and AI, which is a subject that sees an increasing importance due to the widespread use of AI and in particular machine learning (ML). As today’s mainstream AI/ML
-
systems for use in breaking waves, both in the field and in the lab Contribute to analysis of images, and development of the open-source analysis software PyOPIA (https://github.com/SINTEF/pyopia
-
UiO/Anders Lien 16th July 2026 Languages English English English PhD Research Fellow in AI for Rehabilitation and Motor Learning Apply for this job See advertisement About the position We invite
-
Norway, NTNU will arrange for you to acquire such competence during the employment period. In such cases, you will also be assigned relevant teaching as part of the career-promoting work. The appointment
-
constraints and competing objectives. Multi-agent learning and optimization show promise in this regard. Yet, the deployment of AI for decision making in critical infrastructure like the energy sector
-
is part of the ERC-funded project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD