Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oslo
- University of Bergen
- UiT The Arctic University of Norway
- University of South-Eastern Norway
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Agder
- Western Norway University of Applied Sciences
- BI Norwegian Business School
- The Norwegian Polar Institute
- University of Inland Norway
- University of Stavanger
- 2 more »
- « less
-
Field
-
of validation plans, CI/CD methods, and testing environments. Designing and developing countermeasures for adversarial threats like data poisoning and evasion attacks Designing human-in-the-loop security
-
to further develop and/or use methods to identify and prioritise areas of high conservation priority within a systematic conservation planning framework. Develop future scenarios of environmental change and
-
mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics
-
to develop cutting-edge theories, methods and technology, for efficient, effective and responsible exploitation of data-driven AI in industrial solutions. Currently the center concentrates their activities
-
, comparative politics, political theory and research methods. The department offers a vibrant academic environment with a good mix of permanent staff, postdoctoral and PhD fellows. Around 1,400 students
-
observation for oil spill monitoring You are keen on contributing to new advances in deep learning methodology for earth observation. You will work on deep learning methods for detection of oil spills in
-
interest in learning the relevant topics of the PhD project and associated areas such as experimental design, laboratory methods, as well as statistical analysis. The candidate must have the ability to work
-
. In the project we will focus on characterization of offshore noise that might impact the DAS data and develop methods for reducing the impact of such noise. Mathematical methods to enhance and ease
-
deliverables Required selection criteria completed doctoral degree in psychology, developmental science or cognitive science or similar domain training and experience with at least one technical research method
-
An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . The positions aim is to