Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- NTNU - Norwegian University of Science and Technology
- University of Oslo
- University of Bergen
- Molde University College
- Nord University
- UiT The Arctic University of Norway
- Norwegian University of Life Sciences (NMBU)
- OsloMet
- Østfold University College
- ; University of Copenhagen
- NHH Norwegian School of Economics
- Norwegian Institute of International Affairs
- Norwegian Meteorological Institute
- 3 more »
- « less
-
Field
-
other are developing regulations that provides both incentives and constraints for the energy transition and emission reduction. The research objective of the PhD is to develop models that captures
-
relevant component development tasks in the project Contribute to relevant simulation and modelling activities in the project Required selection criteria You must have a professionally relevant background in
-
, and entrepreneurship. Doctoral Candidates will gain transferable skills and learn from industry role models, equipping them to make significant contributions to solving the AMR crisis. The succsesssful
-
to mouse models. We use both patient samples and healthy control cells. Example tasks: Optimize T cell and stem cell ex vivo editing & culturing conditions Transplant edited cells to humanized mice Design
-
organismal level. Using salmon as the model, the studies will employ primary cells and established cell lines to uncover the functional potential of algal compounds. This will be achieved through in-depth
-
-cycle fatigue. The research methods are based on both small-scale and full-scale experimental testing and on Finite Element Modelling. Are you motivated to take a step towards a doctorate and open
-
. Special focus will be devoted to the interpretability of the predictions and to the use of physical models in combination with machine learning techniques. You will work alongside other highly motivated and
-
, compared with state-of-the-art rule-based methods as baselines. Design of control barrier functions (CBFs) considered for safeguarding control setpoints. Dynamic programming and model-predictive control
-
participate in the planning and running of experiments and be in charge of analyzing data from experiments, as well as performing modeling work of the phenomenon. The candidate will collaborate closely with