Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- UiT The Arctic University of Norway
- University of Bergen
- University of Inland Norway
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NORCE Norwegian Research Centre
- NTNU Norwegian University of Science and Technology
- Nansen Environmental and Remote Sensing Center
- The Norwegian Polar Institute
- University of Agder
- University of South-Eastern Norway
- University of Stavanger
- Western Norway University of Applied Sciences
- 3 more »
- « less
-
Field
-
statistical analyses of individual trajectories and variability preparation of scientific publications based on the KVIKK dataset The project combines ongoing data collection with analysis of existing data
-
combined with AUV operations. Samples from collected sediment cores will be analysed onshore for various physical and chemical characteristics to help constrain the 3D stratigraphic architecture and
-
combines expertise from computational sciences and chemistry to pharmacy and medicine. The convergence environment will include three PhD positions and one postdoc position. The Postdoctoral position within
-
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description With a rapidly changing climate combined with increased use of pesticides, it is imperative to understand
-
people to participate in democratic life by combining formal and non-formal learning with participatory theatre methods. Through co-creative processes, participatory theatre transforms passive observers
-
principles combined with data assimilation. ML is also used in generative mode to provide several possible outcomes of the forecast. Today, operational forecasts of the Arctic Ocean are also provided by
-
America. The projects methodological approach consists of a combination of extensive field work in seasonally dry tropical forests and mangrove forests in Guatemala which involves, among others
-
neuromorphic mixed-signal/near-analog circuits for next generation edge-AI systems. You will gain skills in custom chip design, artificial neural networks and edge-AI system implementation. The work combines
-
understanding of neural codes for time and their relation to memory deficits in patients. The project combines intracranial electrophysiological recordings in humans with behavioral experiments and has three
-
traits, combining different sources of information, and assessing how environmental effects and management actions affect population dynamics and viability. Available data include long term capture