Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- University of Oslo
- Nord University
- Norwegian University of Life Sciences (NMBU)
- The Norwegian School of Sport Sciences
- Norwegian Meteorological Institute
- OsloMet
- UiT The Arctic University of Norway
- University of Bergen
- 1 more »
- « less
-
Field
-
of PhD project within 3 years Demonstrated ability for independent, goal-oriented and systematic scientific work Ability to work independently, goal-oriented and systematically Ability to learn new
-
salmon is among the most variable vertebrates on Earth in terms of life-histories, making it a powerful model to study how complex differences in ecologically relevant life-history traits are regulated
-
of project idea and plan for implementation The applicant’s description of motivation for the doctoral work and opportunities for completion Relevant experience from research work Ability to work independently
-
. Ability to work independently, goal-oriented and systematically. Relevant experience from research work. Theme and perspectives from the applicant’s master’s study. Project outline with description
-
! The Department of Marine Technology is seeking a highly motivated and talented PhD student to join a groundbreaking project developing innovative power-barge solutions for electrifying moored and anchored vessels
-
a professionally relevant background in Information security, electrical engineering, electronic engineering and/or Computer Science. Your education must correspond to a five-year Norwegian degree
-
ability to work independently and as part of a team excellent analytical skills excellent creative skills and the ability to Personal suitability will be emphasised. It is important for OsloMet to reflect
-
education in different language education contexts, including (but not limited to) primary and secondary school and teacher education. The candidate should pursue practices with emerging AI-powered
-
doctoral degree. This PhD opportunity offers a unique chance to be at the forefront of the transformative field of hybrid modelling, combining the power of machine learning with physics-based approaches
-
offers programmes in automation engineering, computer engineering, electric power systems, simulation and visualization. Our research areas include autonomous vessels, robotics, cybernetics, medical