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
-
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
-
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
-
to perform research at the energy-climate interface that expands our understanding of climate impacts in energy systems. The work will combine ensembles of climate and weather data with numerical modeling
-
for simulation and modeling of wave dynamics, and for uncertainty quantification of extreme events. The project will combine stochastic mathematical models of wave physics with advanced computational methods
-
societal reactions interacted drawing on the combined expertise of the natural sciences and the humanities linking past impacts to future challenges. The project collaborates closely with several other
-
, such as grain size, crystallographic orientation, and strain, can be used to enhance and control the caloric cooling performance. Relevant tasks may be a combination of: Synthesis and processing
-
barriers using peptides to facilitate the targeted delivery of therapeutic molecules, leveraging a multidisciplinary approach that combines expertise from computational sciences and chemistry to pharmacy and
-
effort of numerical modelling, both fluid (extended MHD) and particle oriented, are combined with high quality observations taken at ground-based and space-based observatories to produce models
-
simulation realism and by enforcing quantitative validation against helioseismic constraints. The project combines surface-cooling-driven convection, compressible fluid dynamics, and magnetic fields in ultra
-
will work with a combination of behavioural assays, retinal physiology and molecular techniques, including: optomotor response assays, retinal oxygen measurements, electroretinography, and opsin gene