Sort by
Refine Your Search
-
Category
-
Employer
- NTNU - Norwegian University of Science and Technology
- University of Oslo
- NTNU Norwegian University of Science and Technology
- University of South-Eastern Norway
- BI Norwegian Business School
- University of Bergen
- Molde University College
- Norwegian University of Life Sciences (NMBU)
- Oslo Metropolitan University
- The Norwegian School of Sport Sciences
- UNIS
- 1 more »
- « less
-
Field
-
. The PhD project will therefore study C-UAS concepts and contribute to develop and test solutions that are specially targeting Norwegian needs. The UAV-lab at NTNU has been one of the prime research
-
assurance. The project will investigate how experimental evidence generated through side-channel analysis, fault injection, implementation analysis, robustness testing, and countermeasure evaluation can be
-
, transfer learning, uncertainty quantification and anomaly detection techniques. Design, evaluate and test automated control strategies (MPC, model-based and model-free RL) for optimal feeding and harvesting
-
research field. We require excellent written and oral communication skills. For candidates who are neither native English speakers nor from Scandinavia the following tests can be used as documentation
-
innhold Gå til sidemeny Jobbnorge.no needs JavaScript for all functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 6th September 2026 Languages English
-
innhold Gå til sidemeny Jobbnorge.no needs JavaScript for all functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 31st August 2026 Languages English English
-
based tissue imaging. The work also includes functional characterization of genetic variants identified in patient cohorts, as well as testing of immunomodulatory drugs that affect IL 12/IFN γ signalling
-
in blood and muscle. Experience with performance- and cardiopulmonary exercise testing of well-trained individuals or highly trained athletes is considered a requisite Familiarity with handling and
-
methods. Knowledge of bioinformatics, DNA-sequence analysis or computational design tools. Experience with high-throughput experimental workflows, automation or design–build–test–learn cycles. Experience
-
increase local damage. In addition to numerical research, the PhD candidate will contribute to experimental investigations of geomaterials subjected to high strain rates. Laboratory testing will be used