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will be used as a laboratory through both fieldwork campaigns and numerical model development. The candidate will identify hotspots of eddy generation driven by instabilities and their control on cross
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herbivores space use behavior in relation to snow conditions, data is required at cm to m resolution. This PhD project will develop and apply remote sensing methods to advance terrestrial snow monitoring
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quality (e.g., Mn contamination in Longyearbyen) and nutrient export to coastal ecosystems. Develop a predictive understanding of water quality changes under ongoing permafrost degradation. The four-year
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