Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- NTNU - Norwegian University of Science and Technology
- University of Oslo
- OsloMet
- NTNU Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- University of Bergen
- Nord University
- The Norwegian School of Sport Sciences
- UiT The Arctic University of Norway
- ;
- ; Technical University of Denmark
- Norwegian Meteorological Institute
- University of Stavanger
- 3 more »
- « less
-
Field
-
This PhD programme is multidisciplinary and cross-disciplinary building on applied mathematics and physics, technology and engineering—and the interplay between these. The programme has an applied
-
visions is to use artificial spin systems as a platform for efficient and powerful data analysis at all scales, ranging from low-power computation in the simplest sensor node to accelerated data processing
-
The PhD programme in Innovation for Sustainability is interdisciplinary, applied and project oriented. It is suited for research and development work within private and public sectors as
-
prestigious Research Centre for Environment-friendly Energy (FME) program. It brings together over 60 partners from industry, research, and academia, forming one of the largest and most comprehensive maritime
-
Admission to this PhD programme is continuous. To apply you need a five-year master's degree or equivalent in teacher education or other qualifications in teaching education, educational sciences
-
, phycology, and biosciences. Grade average of B or better both for the programme in total and the master’s thesis Drylab skills in molecular biology including DNA extraction, Qubit quantification Experience
-
Abandonment (P&A) Technology and within the framework of the ongoing industry sponsored research program SFI – Center for Subsurface Well Integrity, Plugging and Abandonment (SWIPA) https://www.sintef.no/en
-
the interface between different scientific disciplines including ecology, evolutionary biology, mathematics and statistics, informatics, economics and social sciences. We aim to apply advanced statistical and
-
fellowship in the field of biomedicine. The doctoral candidate will be affiliated with the PhD program in Health Sciences and the research group Male Reproductive Health . Project/ Area of Research
-
well as candidates with a background in machine learning methods. The PhD programme will straddle the boundaries between the field of wave modelling and the general field of machine learning, and we will set up a team