Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- University of Bergen
- University of South-Eastern Norway
- UiT The Arctic University of Norway
- University of Stavanger
- Western Norway University of Applied Sciences
- NTNU - Norwegian University of Science and Technology
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Nature Careers
- The Norwegian Polar Institute
- University of Agder
- University of Inland Norway
- 2 more »
- « less
-
Field
-
”, an interdisciplinary project integrating 2D and 3D seismic and well data with state-of-art numerical forward modelling to understand the role of salt basin geometry and intra-salt heterogeneity on salt flow and the
-
on bio- and/or geo-diversity be hosted by at least two of NHM´s research groups enhance and/or use NHM’s physical and digital collections, ideally both Expectations of the postdoc: Carry out the project
-
synergistically integrates different renewable energy sources such as solar photovoltaic generation, hydrogen production, and storage alternatives with microgrid-driven power distribution. Through advanced modeling
-
evaluations of climate model simulations that integrate the impacts of wind-farm wake effects on wind power production and local atmospheric conditions. The candidate will employ a range of cutting-edge
-
observations and reanalysis data, coupled with detailed evaluations of climate model simulations that integrate the impacts of wind-farm wake effects on wind power production and local atmospheric conditions
-
modelling. The PhD candidate’s tasks will primarily be to model and simulate CO2 hydrate sealing in sediments but also to take part in analysing and interpreting physical experiments. The PhD candidate will
-
interdisciplinary research group with both experimental activities and numerical modelling. The PhD candidate’s tasks will primarily be to model and simulate CO2 hydrate sealing in sediments but also to take part in
-
areas in credible journals and conferences Knowledge and relevant project experience with the modelling of urban water systems Experience with Python for advanced programming, both design and planning, as
-
integrating wind farm wake effects into a climate model to evaluate climate-energy interactions. Findings will inform studies on co-located multi-source energy systems at large wind park sites. Using advanced
-
the long-term climate impacts of large wind park clusters, starting with individual wind parks. The first phase involves integrating wind farm wake effects into a climate model to evaluate climate-energy