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other national and international partners. The PhD project is focused on quantifying the role of blowing snow in driving accumulation and sublimation in mountainous conditions. The simulation of blowing
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of blowing snow in driving accumulation and sublimation in mountainous conditions. The simulation of blowing snow in local and regional climate models is poorly constrained, leading to uncertainties in
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. The candidate will apply (glacier-)hydrological models to simulate glacier-/snow- mass balance, runoff and extreme events from the past centuries (~1500) to the end of this century, using bias-corrected and
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flood events. The candidate will apply (glacier-)hydrological models to simulate glacier-/snow- mass balance, runoff and extreme events from the past centuries (~1500) to the end of this century, using
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is a partner for the Alrek Health Cluster, Årstadveien, Bergen, and is supported by the Trond Mohn Foundation related to Complex Conditions and Ageing (CC.AGE). Read more about the project: https
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Conditions and Ageing (CC.AGE). Read more about the project: https://www.uib.no/en/sefas About the project/work tasks: The postdoctoral research fellow will perform quantitative data analysis using advanced
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University of Applied Sciences, has a vacancy for a research fellow (PhD position) in mathematical modeling and simulation of surface water flow for 3 years. The PhD research fellow will be part of the PhD
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(NorESM). In the project, the CLM model will be using the FATES (Functionally-Assembled Terrestrial Ecosystem Simulator) terrestrial ecosystem model and the MIMICS+ module for soil carbon decomposition
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simulation models, digitalization allows for the development of next-generation batteries by providing insights into complex internal processes, enabling manufacturers to innovate faster and adapt to growing
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propose strategies for fields on the Norwegian continental shelf. Competence required in at least one of the following fields: Reservoir simulation, computational modelling Competence desired: Subsurface