Sort by
Refine Your Search
-
Listed
-
Employer
- NTNU - Norwegian University of Science and Technology
- University of Bergen
- University of Oslo
- Molde University College
- Nord University
- UiT The Arctic University of Norway
- OsloMet
- Østfold University College
- NHH Norwegian School of Economics
- Norwegian Meteorological Institute
- Norwegian University of Life Sciences (NMBU)
- 1 more »
- « less
-
Field
-
prone to change and decline. One project component analyses and models the effects of climate-induced cryospheric changes on water flows. The other project component, to which you will contribute
-
strategically important role in the shift towards a greener and more circular economy. Duties of the position Develop computational models and perform corresponding simulations to examine the behaviour and
-
years ago. Its main goal is to unravel where, when, and why early humans started to think and behave the way we do today, by combining archaeological excavations and dating with climate modelling
-
selection criteria You must have an academically relevant background within Civil / Environmental / Hydraulic Engineering, Computer Science, Applied Mathematics, or related areas. You must have a Master's
-
You must meet the requirements for admission to the faculty of engineering’s Doctoral Programme High level competency in GIS, Hydrology, Hydraulics, hydrological and hydraulic modelling Strong
-
outside academia. This PhD position focuses on the intersection of structural engineering, artificial intelligence, and computational design. The project aims to advance the autonomous generation
-
. The position is for a period of three years. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and
-
winter CH4 emissions, using AI tools to develop upscaling tools or upscale to circumpolar region, or using climate modeling such as the Norwegian Earth System Model to constrain models and observations
-
affecting the intestinal epithelium and the possible partners related to the different phases of the disease. The work will be a combination of ex vivo organoid cultures, in vivo disease models, combined with
-
and turbomachinery. A good foundation in thermodynamics and heat transfer. Experience with computational tools relevant for process modeling and simulation