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demonstrate strong skills in mathematical modeling and a clear motivation to work on applied geophysical problems. The ability to work independently and in a structured manner, along with strong collaboration
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snow in local and regional climate models is poorly constrained, leading to uncertainties in estimating mass loss through sublimation and snow redistribution. The PhD candidate will develop and execute
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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 exploration of the evolving patterns of mountain ecosystems in response to climate and land-use change, and how these changes affect traditional cultural landscapes and ecosystem service provisioning in
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specific ion–surface interactions, predictive insight requires advanced models on atomic-scale resolution. The case of study will be selected from tight petroleum reservoirs on the Norwegian continental
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observational campaign on Folgefonna, a coastal ice cap in Western Norway, to establish an Earth System Model snow intercomparison dataset. This dataset will be complemented by in situ and UAV datasets
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networks”, meeting and exchanging biomolecules in a cellular society. The reasons for this behaviour remain poorly understood, and outside of some model species, this behaviour itself is poorly characterised
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society. The reasons for this behaviour remain poorly understood, and outside of some model species, this behaviour itself is poorly characterised. We have recently developed cross-eukaryotic theory linking
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land-use change, and how these changes affect traditional cultural landscapes and ecosystem service provisioning in the region. The successful candidate will join a multidisciplinary supervisory team
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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